Multiple View Object Cosegmentation Using Appearance and Stereo Cues, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33715-4_57
URL : http://chenlab.ece.cornell.edu/people/adarsh/publications/kowdleECCV12.pdf
Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.3, pp.493-505, 2011. ,
DOI : 10.1109/TPAMI.2011.150
grabcut " : interactive foreground extraction using iterated graph cuts, ACM SIGGRAPH, 2004. ,
Scene analysis using regions, Artificial Intelligence, vol.1, issue.3-4, pp.3-4205, 1970. ,
DOI : 10.1016/0004-3702(70)90008-1
Video snapcut: Robust video object cutout using localized classifiers, ACM Trans. Graph, vol.2870, issue.311, pp.1-70, 2009. ,
Modeling the World from Internet Photo Collections, International Journal of Computer Vision, vol.17, issue.2, pp.189-210, 2008. ,
DOI : 10.1007/s11263-007-0107-3
Towards Linear-Time Incremental Structure from Motion, 2013 International Conference on 3D Vision, pp.127-134, 2013. ,
DOI : 10.1109/3DV.2013.25
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.5729
How Not to Be Seen - Object Removal from Videos of Crowded Scenes, Computer Graphics Forum, vol.29, issue.3, pp.31219-228 ,
DOI : 10.1111/j.1467-8659.2012.03000.x
Towards fast, generic video inpainting, Proceedings of the 10th European Conference on Visual Media Production, CVMP '13, pp.1-7 ,
DOI : 10.1145/2534008.2534019
URL : https://hal.archives-ouvertes.fr/hal-00838927
Key-segments for video object segmentation, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126471
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.545-552, 2006. ,
DOI : 10.1109/CVPR.2006.189
Multicommodity network flow for tracking multiple people, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012. ,
Motion Capture of Deformable Surfaces in Multi-View Studios. These, 2012. ,
URL : https://hal.archives-ouvertes.fr/tel-00771536
Action Recognition from Arbitrary Views using 3D Exemplars, 2007 IEEE 11th International Conference on Computer Vision, pp.1-7, 2007. ,
DOI : 10.1109/ICCV.2007.4408849
URL : https://hal.archives-ouvertes.fr/inria-00544741
Learning 4d action feature models for arbitrary view action recognition, Computer Vision and Pattern Recognition CVPR 2008. IEEE Conference on, pp.1-7, 2008. ,
Cross-view action recognition via view knowledge transfer, CVPR 2011, pp.3209-3216, 2011. ,
DOI : 10.1109/CVPR.2011.5995729
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.3903
Probabilistic Deformable Surface Tracking from Multiple Videos, ECCV (4), pp.326-339, 2010. ,
DOI : 10.1007/978-3-642-15561-1_24
URL : https://hal.archives-ouvertes.fr/inria-00568912
Joint Multi-Layer Segmentation and Reconstruction for??Free-Viewpoint Video Applications, International Journal of Computer Vision, vol.22, issue.11, pp.73-100, 2011. ,
DOI : 10.1007/s11263-010-0413-z
Background Cut, 2006. ,
DOI : 10.1109/34.598236
Exact polyhedral visual hulls, Procedings of the British Machine Vision Conference 2003, pp.329-338, 2003. ,
DOI : 10.5244/C.17.32
URL : https://hal.archives-ouvertes.fr/inria-00349075
Coupling detection and data association for multiple object tracking, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pp.1948-1955, 2012. ,
Cage-Based Motion Recovery Using Manifold Learning, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, pp.206-213, 2012. ,
DOI : 10.1109/3DIMPVT.2012.29
URL : https://hal.archives-ouvertes.fr/hal-00737329
View-Invariant Action Recognition Using Latent Kernelized Structural SVM, Computer Vision ? ECCV 2012, pp.411-424978 ,
DOI : 10.1007/978-3-642-33715-4_30
Nonparametric higher-order learning for interactive segmentation, Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, pp.3201-3208, 2010. ,
Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988. ,
DOI : 10.1007/BF00133570
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5318
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001. ,
DOI : 10.1109/ICCV.2001.937505
Shape modeling with front propagation: a level set approach. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.17, issue.2, pp.158-175, 1995. ,
DOI : 10.1109/34.368173
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6656
Normalized cuts and image segmentation, IEEE Trans. Pattern Anal. Mach. Intell, vol.22, issue.8, pp.888-905, 2000. ,
Image segmentation by probabilistic bottomup aggregation and cue integration. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.2, pp.315-327, 2012. ,
DOI : 10.1109/cvpr.2007.383017
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.1687
Contour Detection and Hierarchical Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.5, pp.898-916, 2011. ,
DOI : 10.1109/TPAMI.2010.161
Watersheds in digital spaces: an efficient algorithm based on immersion simulations. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.13, issue.6, pp.583-598, 1991. ,
Silhouette extraction from multiple images of an unknown background, ACCV, 2004. ,
Identifying Foreground from Multiple Images, pp.580-589, 2007. ,
DOI : 10.1007/978-3-540-76390-1_57
URL : https://hal.archives-ouvertes.fr/inria-00590236
Silhouette Segmentation in Multiple Views, IEEE Trans. PAMI, vol.33, issue.7, pp.1429-1441, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00568915
Automatic 3d object segmentation in multiple views using volumetric graph-cuts, Image Vision Comput, vol.28, issue.1, pp.4-25, 2010. ,
Automatic Object Segmentation from Calibrated Images, 2011 Conference for Visual Media Production, 2011. ,
DOI : 10.1109/CVMP.2011.21
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.2113
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.91
Object cosegmentation, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995530
Scale invariant cosegmentation for image groups, CVPR 2011, pp.1881-1888, 2011. ,
DOI : 10.1109/CVPR.2011.5995420
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171961
Unsupervised co-segmentation through region matching, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.749-756, 2012. ,
DOI : 10.1109/CVPR.2012.6247745
URL : https://hal.archives-ouvertes.fr/hal-00856291
Image segmentation techniques, Technical Symposium East, pages 2?9. International Society for Optics and Photonics, 1985. ,
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape, International Journal of Computer Vision, vol.18, issue.9, pp.195-215, 2007. ,
DOI : 10.1007/s11263-006-8711-1
Intelligent scissors for image composition, Proceedings of the 22Nd Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH '95, pp.191-198, 1995. ,
T-snakes: Topology adaptive snakes. Medical image analysis, pp.73-91, 2000. ,
JetStream: probabilistic contour extraction with particles, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.524-531, 2001. ,
DOI : 10.1109/ICCV.2001.937670
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.8029
Interactive graph cuts for optimal boundary amp; region segmentation of objects in n-d images, Computer Vision Proceedings . Eighth IEEE International Conference on, pp.105-112937505, 2001. ,
Exact maximum a posteriori estimation for binary images, Royal Journal on Statistical Society, vol.51, issue.2, pp.271-279, 1989. ,
Graph cut based image segmentation with connectivity priors, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587440
Global optimization for shape fitting In Computer Vision and Pattern Recognition, CVPR '07. IEEE Conference on, pp.1-8, 2007. ,
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007. ,
DOI : 10.1109/ICCV.2007.4408927
Reformulating and Optimizing the Mumford-Shah Functional on a Graph ??? A Faster, Lower Energy Solution, ECCV, pp.248-261, 2008. ,
DOI : 10.1007/978-3-540-88682-2_20
Power watershed: A unifying graphbased optimization framework. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, issue.7, pp.1384-1399, 0200. ,
Fast approximate energy minimization via graph cuts. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.23, issue.11, pp.1222-1239, 2001. ,
DOI : 10.1109/iccv.1999.791245
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806
Fast Approximate Energy Minimization with Label Costs, International Journal of Computer Vision, vol.18, issue.9, pp.1-27 ,
DOI : 10.1007/s11263-011-0437-z
A convex framework for image segmentation with moment constraints, 2011 International Conference on Computer Vision, pp.2236-2243, 2011. ,
DOI : 10.1109/ICCV.2011.6126502
Spatially Varying Color Distributions for Interactive Multilabel Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.5, pp.1234-1247, 2013. ,
DOI : 10.1109/TPAMI.2012.183
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.4970
Efficient graph-based image segmentation, Int. J. Comput. Vision, vol.59, issue.2, pp.167-181, 2004. ,
Pattern Recognition and Machine Learning (Information Science and Statistics), 2006. ,
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.9, 2007. ,
DOI : 10.1109/TPAMI.2007.1085
Mean shift: a robust approach toward feature space analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, issue.5, pp.603-619, 2002. ,
A Topological Approach to Hierarchical Segmentation using Mean Shift, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383228
Hierarchy and adaptivity in segmenting visual scenes, Nature, vol.1, issue.7104, pp.810-813, 2006. ,
DOI : 10.1016/S0896-6273(02)01148-0
A model of saliency-based visual attention for rapid scene analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.20, issue.11, pp.1254-1259, 1998. ,
Context-aware saliency detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.10, pp.1915-1926, 2012. ,
Learning to detect a salient object. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, issue.2, pp.353-367, 2011. ,
Category-independent object proposals with diverse ranking. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.36, issue.2, pp.222-234, 2014. ,
Key-segments for video object segmentation, 2011 International Conference on Computer Vision, 1995. ,
DOI : 10.1109/ICCV.2011.6126471
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.269.2727
Pfinder: Realtime tracking of the human body, IEEE Trans. PAMI, vol.19, issue.7, pp.780-785, 1997. ,
Adaptive background mixture models for real-time tracking, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 1999. ,
DOI : 10.1109/CVPR.1999.784637
Wallflower: principles and practice of background maintenance, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. ,
DOI : 10.1109/ICCV.1999.791228
Normalized cuts and image segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.8, pp.888-905, 2000. ,
A submodular-supermodular procedure with applications to discriminative structure learning, UAI, pp.404-412, 2005. ,
Half-integrality based algorithms for cosegmentation of images, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.2028-2035, 2009. ,
DOI : 10.1109/CVPR.2009.5206652
An efficient algorithm for co-segmentation, ICCV, 2009. ,
Cosegmentation Revisited: Models and Optimization, Proceedings of the 11th European Conference on Computer Vision: Part II, 2010. ,
DOI : 10.1007/978-3-642-15552-9_34
From co-saliency to cosegmentation: An efficient and fully unsupervised energy minimization model, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp.2129-2136, 2011. ,
Discriminative clustering for image co-segmentation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539868
iCoseg: Interactive co-segmentation with intelligent scribble guidance, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540080
iModel: Interactive Co-segmentation for Object of Interest 3D Modeling, Trends and Topics in Computer Vision, 2012. ,
DOI : 10.1007/978-3-642-35740-4_17
Clothing cosegmentation for recognizing people, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587481
Interactively cosegmentating topically related images with intelligent scribble guidance, Int. J. Comput. Vision, issue.3, p.93, 2011. ,
Locus: Learning object classes with unsupervised segmentation, ICCV, 2005. ,
Constrained parametric min-cuts for automatic object segmentation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540063
What is an object? In Computer Vision and Pattern Recognition, 2010 IEEE Conference on, pp.73-80, 2010. ,
A hierarchical image clustering cosegmentation framework, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.686-693, 2012. ,
DOI : 10.1109/CVPR.2012.6247737
Cosegmentation and Cosketch by Unsupervised Learning, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.165
Co-segmentation by Composition, 2013 IEEE International Conference on Computer Vision, pp.1297-1304, 2013. ,
DOI : 10.1109/ICCV.2013.164
Unsupervised discovery of image categories, Proceedings of the 12th European Conference on Computer Vision -Volume Part VII, ECCV'12, pp.474-487978, 2012. ,
Similarity by composition, NIPS, pp.177-184, 2006. ,
Shape-Based Mutual Segmentation, International Journal of Computer Vision, vol.18, issue.9, pp.231-245, 2008. ,
DOI : 10.1007/s11263-007-0115-3
Proportion Priors for Image Sequence Segmentation, 2013 IEEE International Conference on Computer Vision, pp.2328-2335, 2013. ,
DOI : 10.1109/ICCV.2013.289
Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid, ICCV, 2005. ,
URL : https://hal.archives-ouvertes.fr/inria-00070456
Exact voxel occupancy with graph cuts, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000. ,
DOI : 10.1109/CVPR.2000.855839
A theory of shape by space carving, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. ,
DOI : 10.1109/ICCV.1999.791235
Fast variational multi-view segmentation through backprojection of spatial constraints, Image and Vision Computing, vol.30, issue.11, pp.797-807, 2012. ,
DOI : 10.1016/j.imavis.2012.08.009
Automatic 3D object segmentation in multiple views using volumetric graph-cuts, Image and Vision Computing, vol.28, issue.1, pp.14-25, 2010. ,
DOI : 10.1016/j.imavis.2008.09.005
Adaptive Foreground/Background Segmentation Using Multiview Silhouette Fusion, DAGM-Symposium, 2009. ,
DOI : 10.1007/11861898_69
Joint multi-view foreground segmentation and 3D reconstruction with tolerance loop, 2011 18th IEEE International Conference on Image Processing, 2011. ,
DOI : 10.1109/ICIP.2011.6116731
On Using Silhouettes for Camera Calibration, Proceedings of the 7th Asian Conference on Computer Vision (ACCV, pp.1-10, 2006. ,
DOI : 10.1007/11612032_1
URL : https://hal.archives-ouvertes.fr/inria-00590207
Graph Cut Based Multiple View Segmentation for 3D Reconstruction, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006. ,
DOI : 10.1109/3DPVT.2006.70
Wide-baseline multi-view video segmentation for 3D reconstruction, Proceedings of the 1st international workshop on 3D video processing, 3DVP '10, 2010. ,
DOI : 10.1145/1877791.1877795
A closed-form solution to natural image matting. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.30, issue.2, pp.228-242, 2008. ,
A bayesian framework for simultaneous matting and 3d reconstruction In 3-D Digital Imaging and Modeling, 3DIM '07. Sixth International Conference on, pp.167-176, 2007. ,
Robust graph-cut scene segmentation and reconstruction for free-viewpoint video of complex dynamic scenes, 2009 IEEE 12th International Conference on Computer Vision, pp.809-816, 2009. ,
DOI : 10.1109/ICCV.2009.5459299
Exact polyhedral visual hulls, Procedings of the British Machine Vision Conference 2003, pp.329-338, 2003. ,
DOI : 10.5244/C.17.32
URL : https://hal.archives-ouvertes.fr/inria-00349075
A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models, 1997. ,
N-tuple Color Segmentation for Multi-view Silhouette Extraction, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33715-4_59
URL : https://hal.archives-ouvertes.fr/hal-00735718
A quasi-dense approach to surface reconstruction from uncalibrated images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.3, pp.418-433, 2005. ,
DOI : 10.1109/TPAMI.2005.44
URL : https://hal.archives-ouvertes.fr/hal-00272603
The OpenCV Library. Dr. Dobb's Journal of Software Tools, 2000. ,
Foreground-background segmentation using iterated distribution matching, CVPR, 2011. ,
Foreground-background segmentation using iterated distribution matching, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp.2113-2120, 2011. ,
Interactive Image Segmentation Using an Adaptive GMMRF Model, Proc. European Conference in Computer Vision (ECCV, 2004. ,
DOI : 10.1007/978-3-540-24670-1_33
Assessing a mixture model for clustering with the integrated completed likelihood. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.7, pp.719-725, 2000. ,
Unsupervised learning of finite mixture models. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, issue.3, pp.381-396, 2002. ,
Variational bayesian model selection for mixture distributions, Proceedings Eighth International Conference on Artificial Intelligence and Statistics, pp.27-34, 2001. ,
Bi-layer segmentation of binocular stereo video, CVPR, 2005. ,
Tofcut: Towards robust real-time foreground extraction using a time-of-flight camera, 3DPVT, 2010. ,
3D Object Reconstruction with Heterogeneous Sensor Data, 3DPVT, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00349099
Multiview image and tof sensor fusion for dense 3d reconstruction, 3DIM, 2009. ,
DOI : 10.1109/iccvw.2009.5457430
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.177.9700
Real-time foreground segmentation via range and color imaging, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008. ,
DOI : 10.1109/CVPRW.2008.4563170
Interactive video segmentation supported by multiple modalities, with an application to depth maps, 2012 3DTV-Conference: The True Vision, Capture, Transmission and Display of 3D Video (3DTV-CON), pp.1-4, 2012. ,
DOI : 10.1109/3DTV.2012.6365442
Contour and Texture Analysis for Image Segmentation, Int. J. Comput. Vision, vol.43, issue.1, pp.7-27, 2001. ,
DOI : 10.1007/978-1-4615-4413-5_9
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.11, 2012. ,
DOI : 10.1109/TPAMI.2012.120
SEEDS: Superpixels Extracted via Energy-Driven Sampling, Computer Vision ? ECCV 2012, pp.13-26 ,
DOI : 10.1007/978-3-642-33786-4_2
Model Order Selection and Cue Combination for Image Segmentation, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.1130-1137, 2006. ,
DOI : 10.1109/CVPR.2006.186
Learning and incorporating topdown cues in image segmentation, Proceedings of the 9th European Conference on Computer Vision -Volume Part I, ECCV'06, pp.338-351, 2006. ,
DOI : 10.1007/11744023_27
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.9258
Constrained image segmentation from hierarchical boundaries In Computer Vision and Pattern Recognition, CVPR 2008. IEEE Conference on, pp.1-8, 2008. ,
Probabilistic motion diffusion of labeling priors for coherent video segmentation. Multimedia, IEEE Transactions on, vol.14, issue.2, pp.389-400, 2012. ,
Mixture of Trees Probabilistic Graphical Model for Video Segmentation, International Journal of Computer Vision, vol.14, issue.2, pp.1-16, 2013. ,
DOI : 10.1007/s11263-013-0673-5
Active Contours: The Application of Techniques from Graphics,Vision,Control Theory and Statistics to Visual Tracking of Shapes in Motion, 1998. ,
DOI : 10.1007/978-1-4471-1555-7
Video matting of complex scenes, ACM Transactions on Graphics, vol.21, issue.3, pp.243-248, 2002. ,
Keyframe-based tracking for rotoscoping and animation, ACM Transactions on Graphics, vol.23, issue.3, pp.584-591, 2004. ,
DOI : 10.1145/1015706.1015764
Video object cut and paste, ACM Transactions on Graphics, vol.24, issue.3, pp.595-600, 2005. ,
DOI : 10.1145/1073204.1073234
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.9111
Interactive video cutout, ACM Transactions on Graphics, vol.24, issue.3, pp.585-594, 2005. ,
DOI : 10.1145/1073204.1073233
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.2100
Geodesic Matting: A Framework for Fast Interactive Image and??Video Segmentation and Matting, Computer Vision IEEE 11th International Conference on, pp.1-8, 2007. ,
DOI : 10.1007/s11263-008-0191-z
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.6449
Interactive segmentation of image volumes with Live Surface, Computers & Graphics, vol.31, issue.2, 2007. ,
DOI : 10.1016/j.cag.2006.11.015
Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking, 2013 IEEE International Conference on Computer Vision, pp.201-208, 2013. ,
DOI : 10.1109/ICCV.2013.32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.663.8148
Pfinder: real-time tracking of the human body. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.19, issue.7, pp.780-785, 1997. ,
Wallflower: principles and practice of background maintenance, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.255-261, 1999. ,
DOI : 10.1109/ICCV.1999.791228
Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recogn, Lett, vol.27, issue.7, pp.773-780, 2006. ,
Bilayer Segmentation of Live Video, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.53-60, 2006. ,
DOI : 10.1109/CVPR.2006.69
Making Background Subtraction Robust to Sudden Illumination Changes, Proc. European Conf. on Computer Vision, 2008. ,
DOI : 10.1007/978-3-540-88693-8_42
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.5928
Temporally Consistent Superpixels, 2013 IEEE International Conference on Computer Vision, pp.385-392, 2013. ,
DOI : 10.1109/ICCV.2013.55
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.4355
Online video seeds for temporal window objectness, Computer Vision (ICCV), 2013 IEEE International Conference on, pp.377-384, 2013. ,
Efficient hierarchical graph-based video segmentation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539893
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.4979
MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation, Procedings of the British Machine Vision Conference 2012, pp.72-73, 2012. ,
DOI : 10.5244/C.26.72
Exploring Visual and Motion Saliency for Automatic Video Object Extraction, IEEE Transactions on Image Processing, vol.22, issue.7, pp.2600-2610, 2013. ,
DOI : 10.1109/TIP.2013.2253483
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.685.8955
Object Segmentation by Long Term Analysis of Point Trajectories, Proceedings of the 11th European Conference on Computer Vision: Part V, ECCV'10, pp.282-295, 2010. ,
DOI : 10.1007/978-3-642-15555-0_21
Multi-class Video Co-segmentation with a Generative Multi-video Model, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.48
An experimental comparison of min-cut/maxflow algorithms for energy minimization in vision, IEEE PAMI, 2004. ,
Multi-view Object Segmentation in Space and Time, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.328
URL : https://hal.archives-ouvertes.fr/hal-00873544
Object categorization by learned universal visual dictionary, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1800-1807, 2005. ,
DOI : 10.1109/ICCV.2005.171
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.8714
Markerless Motion Capture with unsynchronized moving cameras, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206859
Struck: Structured output tracking with kernels, Computer Vision (ICCV), 2011 IEEE International Conference on, pp.263-270, 2011. ,
DOI : 10.1109/iccv.2011.6126251
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.5858
Constructing Adaptive Complex Cells for Robust Visual Tracking, 2013 IEEE International Conference on Computer Vision, pp.1113-1120 ,
DOI : 10.1109/ICCV.2013.142
Semi-supervised On-Line Boosting for Robust Tracking, Proceedings of the 10th European Conference on Computer Vision: Part I, ECCV '08, pp.234-247, 2008. ,
DOI : 10.1007/978-3-540-88682-2_19
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.5747
Real-time visual tracking via online weighted multiple instance learning, Pattern Recognition, vol.46, issue.1, pp.397-411, 2013. ,
DOI : 10.1016/j.patcog.2012.07.013
Visual tracking with online multiple instance learning, Computer Vision and Pattern Recognition CVPR 2009. IEEE Conference on, pp.983-990, 2009. ,
Branch-and-price global optimization for multi-view multi-target tracking, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.1987-1994, 2012. ,
DOI : 10.1109/CVPR.2012.6247901
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.3650-3657, 2013. ,
DOI : 10.1109/CVPR.2013.468
Multicamera people tracking with a probabilistic occupancy map. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.30, issue.2, pp.267-282, 2008. ,
Multiple object tracking using k-shortest paths optimization. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, issue.9, pp.1806-1819, 2011. ,
View-independent action recognition from temporal self-similarities. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, issue.1, pp.172-185, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-01064695
An iterative image registration technique with an application to stereo vision, Proceedings of the 7th International Joint Conference on Artificial Intelligence, pp.674-679, 1981. ,
The template update problem. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.6, pp.810-815, 2004. ,
Lucas-Kanade 20 Years On: A Unifying Framework, International Journal of Computer Vision, vol.56, issue.3, pp.221-255, 2004. ,
DOI : 10.1023/B:VISI.0000011205.11775.fd
Rapid selection of reliable templates for visual tracking, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1355-1362, 2010. ,
DOI : 10.1109/CVPR.2010.5539812
Robust visual tracking using l1 minimization, Computer Vision IEEE 12th International Conference on, pp.1436-1443, 2009. ,
Minimum error bounded efficient l1 tracker with occlusion detection, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp.1257-1264, 2011. ,
DOI : 10.1109/cvpr.2011.5995421
Blurred target tracking by Blur-driven Tracker, 2011 International Conference on Computer Vision, pp.1100-1107, 2011. ,
DOI : 10.1109/ICCV.2011.6126357
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.3123
Pedestrian Detection from a Moving Vehicle, Computer Vision ? ECCV 2000, volume 1843 of Lecture Notes in Computer Science, pp.37-49, 2000. ,
DOI : 10.1007/3-540-45053-X_3
SURF: Speeded Up Robust Features, Lecture Notes in Computer Science, vol.3951, pp.404-417, 2006. ,
DOI : 10.1007/11744023_32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3046
Object Detection by Contour Segment Networks, Proceeding of the European Conference on Computer Vision, pp.14-28, 2006. ,
DOI : 10.1007/11744078_2
URL : https://lirias.kuleuven.be/bitstream/123456789/73490/1/Ferrari_Tuytelaars_VanGool-objcat_csn-eccv06.pdf
Histograms of oriented gradients for human detection INRIA Rhône- Alpes, ZIRST-655, av. de l'Europe, Montbonnot-38334, International Conference on Computer Vision & Pattern Recognition, pp.886-893, 2005. ,
Color feature detection Color image processing: methods and applications, pp.203-226, 2006. ,
Csift: A sift descriptor with color invariant characteristics, Computer Vision and Pattern Recognition IEEE Computer Society Conference on, pp.1978-1983, 2006. ,
Texture features for browsing and retrieval of image data. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.18, issue.8, pp.837-842, 1996. ,
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, issue.7, pp.971-987, 2002. ,
Learning realistic human actions from movies, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587756
URL : https://hal.archives-ouvertes.fr/inria-00548659
A 3-dimensional sift descriptor and its application to action recognition, Proceedings of the 15th international conference on Multimedia , MULTIMEDIA '07, pp.357-360, 2007. ,
DOI : 10.1145/1291233.1291311
Superpixel tracking, Computer Vision (ICCV), 2011 IEEE International Conference on, pp.1323-1330, 2011. ,
Robust Fragments-based Tracking using the Integral Histogram, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.798-805, 2006. ,
DOI : 10.1109/CVPR.2006.256
Surf tracking, Computer Vision IEEE 12th International Conference on, pp.1586-1592, 2009. ,
Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision, vol.61, issue.3, pp.125-141, 2008. ,
DOI : 10.1007/s11263-007-0075-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.4310
Tracking-Learning-Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.7, pp.1409-1422, 2012. ,
DOI : 10.1109/TPAMI.2011.239
Context-aware visual tracking. Pattern Analysis and Machine Intelligence, IEEE Transactions on, issue.7, pp.311195-1209, 2009. ,
Tracking the invisible: Learning where the object might be, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1285-1292, 2010. ,
DOI : 10.1109/CVPR.2010.5539819
Context tracker: Exploring supporters and distracters in unconstrained environments, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp.1177-1184, 2011. ,
Robust Object Tracking by Hierarchical Association of Detection Responses, Proceedings of the 10th European Conference on Computer Vision: Part II, ECCV '08, pp.788-801, 2008. ,
DOI : 10.1007/978-3-540-88688-4_58
Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.666-673, 0195. ,
DOI : 10.1109/CVPR.2006.195
A Linear Programming Approach for Multiple Object Tracking, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383180
Global data association for multi-object tracking using network flows, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587584
Discrete-continuous optimization for multi-target tracking, Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CVPR '12, pp.1926-1933 ,
Multitarget data association with higher-order motion models, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.1744-1751, 2012. ,
DOI : 10.1109/CVPR.2012.6247870
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.659.2921
Tracking multiple sports players through occlusion, congestion and scale, Procedings of the British Machine Vision Conference 2001, pp.93-102, 2001. ,
DOI : 10.5244/C.15.11
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.9077
Robust Visual Tracking for Multiple Targets, Proceedings of the 9th European Conference on Computer Vision -Volume Part IV, ECCV'06, pp.107-118, 2006. ,
DOI : 10.1007/11744085_9
Identifying players in broadcast sports videos using conditional random fields, CVPR 2011, pp.3249-3256, 2011. ,
DOI : 10.1109/CVPR.2011.5995562
Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling, IEEE Transactions on Image Processing, vol.20, issue.6, pp.1652-1667, 2011. ,
DOI : 10.1109/TIP.2010.2102045
You'll never walk alone: Modeling social behavior for multi-target tracking, 2009 IEEE 12th International Conference on Computer Vision, pp.261-268, 2009. ,
DOI : 10.1109/ICCV.2009.5459260
Multiobject tracking as maximum weight independent set, CVPR 2011, pp.1273-1280, 2011. ,
DOI : 10.1109/CVPR.2011.5995395
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.946
Tracking sports players with contextconditioned motion models, Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pp.1830-1837, 2013. ,
Multi-camera multiperson tracking for easyliving, Visual Surveillance Proceedings. Third IEEE International Workshop on, pp.3-10, 2000. ,
Video processing and integration from multiple cameras, Proceedings of the 1998 Image Understanding Workshop, pp.183-187, 1998. ,
Multi view image surveillance and tracking, Workshop on Motion and Video Computing, 2002. Proceedings., pp.169-174, 2002. ,
DOI : 10.1109/MOTION.2002.1182230
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.8531
Multiview occlusion analysis for tracking densely populated objects based on 2-d visual angles In Computer Vision and Pattern Recognition, Proceedings of the 2004 IEEE Computer Society Conference on, pp.90-97, 2004. ,
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo, Proceedings of the 7th European Conference on Computer Vision-Part I, ECCV '02, pp.18-36, 2002. ,
DOI : 10.1007/3-540-47969-4_2
Person counting using stereo, Proceedings Workshop on Human Motion, pp.127-133, 2000. ,
DOI : 10.1109/HUMO.2000.897382
Counting people in crowds with a real-time network of simple image sensors, Proceedings Ninth IEEE International Conference on Computer Vision, pp.122-129, 2003. ,
DOI : 10.1109/ICCV.2003.1238325
Multiple object tracking using k-shortest paths optimization. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, issue.9, pp.1806-1819, 2011. ,
Resolving motion correspondence for densely moving points. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.23, issue.1, pp.54-72, 2001. ,
A noniterative greedy algorithm for multiframe point correspondence . Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.1, pp.51-65, 2005. ,
Player localization using multiple static cameras for sports visualization, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.731-738, 2010. ,
DOI : 10.1109/CVPR.2010.5540142
View-invariant representation and recognition of actions, International Journal of Computer Vision, vol.50, issue.2, pp.203-226, 2002. ,
DOI : 10.1023/A:1020350100748
Recognizing action events from multiple viewpoints. In Detection and Recognition of Events in Video, Proceedings. IEEE Workshop on, pp.64-72, 2001. ,
View-invariant action recognition using fundamental ratios In Computer Vision and Pattern Recognition, CVPR 2008. IEEE Conference on, pp.1-6, 2008. ,
Learning to Recognize Activities from the Wrong View Point, Proceedings of the 10th European Conference on Computer Vision: Part I, ECCV '08, pp.154-166, 2008. ,
DOI : 10.1007/978-3-540-88682-2_13
Cross-view action recognition via view knowledge transfer, CVPR 2011, pp.3209-3216, 2011. ,
DOI : 10.1109/CVPR.2011.5995729
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.3903
Robust real-time periodic motion detection, analysis, and applications . Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.8, pp.781-796, 2000. ,
Gait Recognition Using Image Self-Similarity, EURASIP Journal on Advances in Signal Processing, vol.2004, issue.4, pp.572-585, 2004. ,
DOI : 10.1155/S1110865704309236
Visual perception of biological motion and a model for its analysis, Perception & Psychophysics, vol.4, issue.2, pp.201-211, 1973. ,
DOI : 10.3758/BF03212378
Visual analysis of gait as a cue to identity, Applied Cognitive Psychology, vol.13, issue.6, 1999. ,
DOI : 10.1002/(SICI)1099-0720(199912)13:6<513::AID-ACP616>3.0.CO;2-8
Gait recognition by walking and running: a model-based approach, Asian Conference on Computer Vision, pp.1-6, 2002. ,
3D tracking for gait characterization and recognition, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings., pp.17-22, 2004. ,
DOI : 10.1109/AFGR.2004.1301503
Individual recognition using gait energy image. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.2, pp.316-322, 2006. ,
Action and simultaneous multiple-person identification using cubic higher-order local auto-correlation, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.741-744, 2004. ,
DOI : 10.1109/ICPR.2004.1333879
Gait Recognition Using a View Transformation Model in the Frequency Domain, Proceedings of the 9th European Conference on Computer Vision -Volume Part III, ECCV'06, pp.151-163, 2006. ,
DOI : 10.1007/11744078_12
Human identification using temporal information preserving gait template. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.11, pp.2164-2176, 2012. ,
Gait representation using flow fields 1 gait representation using flow fields, 2009. ,
DOI : 10.5244/c.23.113
Gait recognition using images of oriented smooth pseudo motion, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.1309-1314, 2012. ,
DOI : 10.1109/ICSMC.2012.6377914
Two-Point Gait: Decoupling Gait from Body Shape, 2013 IEEE International Conference on Computer Vision, pp.1041-1048, 2013. ,
DOI : 10.1109/ICCV.2013.133
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.638.8400
Human Detection Using Oriented Histograms of Flow and Appearance, Proceedings of the 9th European Conference on Computer Vision -Volume Part II, ECCV'06, pp.428-441, 2006. ,
DOI : 10.1023/A:1008162616689
URL : https://hal.archives-ouvertes.fr/inria-00548587
Multi-Commodity Network Flow for Tracking Multiple People, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013. ,
Dense Trajectories and Motion Boundary Descriptors for Action Recognition, International Journal of Computer Vision, vol.73, issue.2, 2012. ,
DOI : 10.1007/s11263-012-0594-8
URL : https://hal.archives-ouvertes.fr/hal-00725627