Human activity analysis, ACM Computing Surveys, vol.43, issue.3, pp.1-1643, 2011. ,
DOI : 10.1145/1922649.1922653
Three things everyone should know to improve object retrieval, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.2911-2918, 2012. ,
DOI : 10.1109/CVPR.2012.6248018
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.7498
SURF: Speeded up robust features, ECCV, 2006. ,
DOI : 10.1007/11744023_32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3046
Learning spatiotemporal graphs of human activities, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126316
The devil is in the details: an evaluation of recent feature encoding methods, Procedings of the British Machine Vision Conference 2011, 2011. ,
DOI : 10.5244/C.25.76
Human Detection Using Oriented Histograms of Flow and Appearance, ECCV, 2006. ,
DOI : 10.1023/A:1008162616689
URL : https://hal.archives-ouvertes.fr/inria-00548587
Behavior Recognition via Sparse Spatio-Temporal Features, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. ,
DOI : 10.1109/VSPETS.2005.1570899
Two-Frame Motion Estimation Based on Polynomial Expansion, SCIA, 2003. ,
DOI : 10.1007/3-540-45103-X_50
Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1627-1645, 2010. ,
DOI : 10.1109/TPAMI.2009.167
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2745
Progressive search space reduction for human pose estimation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587468
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.321.2867
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981. ,
DOI : 10.1145/358669.358692
Recognizing activities with cluster-trees of tracklets, Procedings of the British Machine Vision Conference 2012, 2012. ,
DOI : 10.5244/C.26.30
URL : https://hal.archives-ouvertes.fr/hal-00722955
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking, International Journal of Computer Vision, vol.31, issue.2, pp.335-360, 2011. ,
DOI : 10.1007/s11263-011-0431-5
Better Exploiting Motion for Better Action Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.330
URL : https://hal.archives-ouvertes.fr/hal-00813014
Trajectorybased modeling of human actions with motion reference points, ECCV, 2012. ,
A Spatio-Temporal Descriptor Based on 3D-Gradients, Procedings of the British Machine Vision Conference 2008, 2008. ,
DOI : 10.5244/C.22.99
Motion Interchange Patterns for Action Recognition in Unconstrained Videos, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33783-3_19
HMDB: A large video database for human motion recognition [19] I. Laptev. On space-time interest points, ICCV, pp.2556-2563107, 2005. ,
Learning realistic human actions from movies, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587756
URL : https://hal.archives-ouvertes.fr/inria-00548659
Recognizing realistic actions from videos in the wild, CVPR, 2009. ,
Actions in context, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206557
Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33709-3_60
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification, ECCV, 2010. ,
DOI : 10.1007/978-3-642-15552-9_29
Modeling the shape of the scene: A holistic representation of the spatial envelope, International Journal of Computer Vision, vol.42, issue.3, pp.145-175, 2001. ,
DOI : 10.1023/A:1011139631724
Action and Event Recognition with Fisher Vectors on a Compact Feature Set, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.228
URL : https://hal.archives-ouvertes.fr/hal-00873662
Exploring Weak Stabilization for Motion Feature Extraction, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.371
Structured Learning of Human Interactions in TV Shows, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.12, 2012. ,
DOI : 10.1109/TPAMI.2012.24
Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, 2010. ,
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630
Weakly Supervised Learning of Interactions between Humans and Objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.3, pp.601-614, 2012. ,
DOI : 10.1109/TPAMI.2011.158
URL : https://hal.archives-ouvertes.fr/inria-00516477
Recognizing 50 human action categories of web videos. Machine Vision and Applications, pp.1-11, 2012. ,
Action bank: A high-level representation of activity in video, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247806
A 3-dimensional sift descriptor and its application to action recognition, Proceedings of the 15th international conference on Multimedia , MULTIMEDIA '07, 2007. ,
DOI : 10.1145/1291233.1291311
Sampling Strategies for Real-Time Action Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.335
Good features to track, CVPR, 1994. ,
Classifying web videos using a global video descriptor, Machine Vision and Applications, pp.1-13, 2012. ,
DOI : 10.1007/s00138-012-0449-x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.4388
Image Alignment and Stitching, pp.1-104, 2006. ,
DOI : 10.1007/0-387-28831-7_17
Feature Tracking and Motion Compensation for Action Recognition, Procedings of the British Machine Vision Conference 2008, 2008. ,
DOI : 10.5244/C.22.30
Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33786-4_7
Dense Trajectories and Motion Boundary Descriptors for Action Recognition, International Journal of Computer Vision, vol.73, issue.2, pp.60-79, 2013. ,
DOI : 10.1007/s11263-012-0594-8
URL : https://hal.archives-ouvertes.fr/hal-00725627
An efficient dense and scaleinvariant spatio-temporal interest point detector, ECCV, 2008. ,
Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126397
Local Trinary Patterns for human action recognition, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459201