A Unified Framework for Multi-target Tracking and Collective Activity Recognition
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[1] Silvio Savarese,et al. Learning context for collective activity recognition , 2011, CVPR 2011.
[2] Luc Van Gool,et al. A mobile vision system for robust multi-person tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Thomas Deselaers,et al. ClassCut for Unsupervised Class Segmentation , 2010, ECCV.
[4] Luis E. Ortiz,et al. Who are you with and where are you going? , 2011, CVPR 2011.
[5] J. Y. Yen. Finding the K Shortest Loopless Paths in a Network , 1971 .
[6] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[7] Juan Carlos Niebles,et al. Unsupervised Learning of Human Action Categories , 2006 .
[8] Frank Dellaert,et al. An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets , 2004, ECCV.
[9] Luc Van Gool,et al. You'll never walk alone: Modeling social behavior for multi-target tracking , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[10] Bingbing Ni,et al. Recognizing human group activities with localized causalities , 2009, CVPR 2009.
[11] Anthony Hoogs,et al. Learning and recognizing complex multi-agent activities with applications to american football plays , 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).
[12] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[13] Frank Dellaert,et al. MCMC-based particle filtering for tracking a variable number of interacting targets , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Bo Wu,et al. Pedestrian Tracking by Associating Tracklets using Detection Residuals , 2008, 2008 IEEE Workshop on Motion and video Computing.
[15] Jason Weston,et al. Multi-Class Support Vector Machines , 1998 .
[16] Jiebo Luo,et al. Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Jiebo Luo,et al. Recognizing realistic actions from videos , 2009, CVPR.
[18] Silvio Savarese,et al. Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera , 2010, ECCV.
[19] Ze-Nian Li. BEYOND ACTIONS : DISCRIMINATIVE MODELS FOR CONTEXTUAL GROUP ACTIVITIES , 2010 .
[20] Juan Carlos Niebles,et al. Spatial-Temporal correlatons for unsupervised action classification , 2008, 2008 IEEE Workshop on Motion and video Computing.
[21] Fu Jie Huang,et al. A Tutorial on Energy-Based Learning , 2006 .
[22] Marshall F. Tappen,et al. Learning pedestrian dynamics from the real world , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[23] Bodo Rosenhahn,et al. Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[24] Silvio Savarese,et al. What are they doing? : Collective activity classification using spatio-temporal relationship among people , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[25] Alexei A. Efros,et al. Putting Objects in Perspective , 2006, CVPR.
[26] Aaron F. Bobick,et al. Recognizing Planned, Multiperson Action , 2001, Comput. Vis. Image Underst..
[27] Jake K. Aggarwal,et al. Stochastic Representation and Recognition of High-Level Group Activities , 2011, International Journal of Computer Vision.
[28] Jake K. Aggarwal,et al. Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[29] David Elliott,et al. In the Wild , 2010 .
[30] Rama Chellappa,et al. Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition , 2009, CVPR.
[31] Ramakant Nevatia,et al. Global data association for multi-object tracking using network flows , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Charless C. Fowlkes,et al. Globally-optimal greedy algorithms for tracking a variable number of objects , 2011, CVPR 2011.
[33] Pedro F. Felzenszwalb,et al. Efficient belief propagation for early vision , 2004, CVPR 2004.
[34] Ramin Mehran,et al. Abnormal crowd behavior detection using social force model , 2009, CVPR.
[35] Serge J. Belongie,et al. Behavior recognition via sparse spatio-temporal features , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
[36] Takeo Kanade,et al. Tracking in unstructured crowded scenes , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[37] Ramakant Nevatia,et al. Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors , 2007, International Journal of Computer Vision.