Object and Action Classification with Latent Variables, Procedings of the British Machine Vision Conference 2011, 2011. ,
DOI : 10.5244/C.25.17
Learning OpenCV: Computer vision with the OpenCV library Learning spatiotemporal graphs of human activities, 2008. ,
Object Segmentation by Long Term Analysis of Point Trajectories, 2010. ,
DOI : 10.1007/978-3-642-15555-0_21
Human Detection Using Oriented Histograms of Flow and Appearance, 2006. ,
DOI : 10.1023/A:1008162616689
URL : https://hal.archives-ouvertes.fr/inria-00548587
Registration of translated and rotated images using finite Fourier transforms Graph theory Pattern classification Dupé F, Brun L (2008) Hierarchical bag of paths for kernel based shape classification. SSSPR Farnebäck G (2003) Two-frame motion estimation based on polynomial expansion Object detection with discriminatively trained part based models Stable and efficient gaussian process calculations Spectral grouping using the Nystrom method, PAMI Diestel R Image Analysis Felzenszwalb PF, 1987. ,
Clustering point trajectories with various life-spans Actom Sequence Models for Efficient Action Detection Recognizing activities with cluster-trees of tracklets Action recognition using mined hierarchical compound features shape context and distance transform for action recognition, PAMI Grundmann M, p.3, 2008. ,
The elements of statistical learning, 2008. ,
Large-scale event detection using semihidden markov models In: ICCV Ikizler-Cinbis N, Sclaroff S (2010) Object, scene and actions: Combining multiple features for human action recognition, 2003. ,
Trajectory-Based Modeling of Human Actions with Motion Reference Points Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees Motion Interchange Patterns for Action Recognition in Unconstrained Videos Learning a hierarchy of discriminative space-time neighborhood features for human action recognition, 2010. ,
HMDB: a large video database for human motion recognition On space-time interest points Learning realistic human actions from movies, In: ICCV Laptev I IJCV Laptev I, 2005. ,
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383074
Track to the future: Spatio-temporal video segmentation with long-range motion cues, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.6044588
URL : https://hal.archives-ouvertes.fr/hal-00817961
Recognizing human actions by attributes, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995353
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.8447
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
Classification using intersection kernel support vector machines is efficient, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587630
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.3974
Actions in context Representing pairwise spatial and temporal relations for action recognition Action recognition with motionappearance vocabulary forest Hierarchical model of shape and appearance for human action classification, L (2010) Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification, 2007. ,
Contour detection and hierarchical image segmentation High Five: Recognising Human Interactions in TV Shows Explicit modeling of human-object interactions in realistic videos. PAMI Raptis M, Kokkinos I, Soatto S (2012) Discovering Discriminative Action Parts from Mid-Level Video Representations Incremental action recognition using feature-tree Action Bank: A High-Level Representation of Activity in Video Learning discriminative spacetime actions from weakly labelled videos Nonlinear component analysis as a kernel eigenvalue problem Web-scale k-means clustering Kernel methods for pattern analysis, BMVC Schölkopf B, Smola AJ Learning with Kernels Schölkopf B Neural computation Sculley D, 1998. ,
Motion segmentation and tracking using normalized cuts, 1998. ,
Normalized cuts and image segmentation Good features to track Kernel on bag of paths for measuring similarity of shapes, European Symposium on Artificial Neural Networks, pp.1-6, 1994. ,
Computer vision: algorithms and applications, 2010. ,
DOI : 10.1007/978-1-84882-935-0
Learning latent temporal structure for complex event detection, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247808
Human Activities as Stochastic Kronecker Graphs, 2012. ,
DOI : 10.1007/978-3-642-33709-3_10
Space-variant descriptor sampling for action recognition based on saliency and eye movements Dense trajectories and motion boundary descriptors for action recognition, 2012. ,
Hidden part models for human action recognition: Probabilistic vs. max-margin Using the Nyström method to speed up kernel machines, PAMI Williams C, Seeger M, 2001. ,
Propagative Hough Voting for Human Activity Recognition, 2012. ,