Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes
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Silvio Savarese | Amir Sadeghian | Alexandre Alahi | Alexandre Robicquet | S. Savarese | Alexandre Alahi | Alexandre Robicquet | Amir Sadeghian
[1] Rita Cucchiara,et al. Probabilistic people tracking for occlusion handling , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[2] M WangJack,et al. Gaussian Process Dynamical Models for Human Motion , 2008 .
[3] Pascal Fua,et al. Multicamera People Tracking with a Probabilistic Occupancy Map , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Afshin Dehghan,et al. GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs , 2012, ECCV.
[5] Satoshi Kagami,et al. A probabilistic model of human motion and navigation intent for mobile robot path planning , 2000, 2009 4th International Conference on Autonomous Robots and Agents.
[6] Andreas Krause,et al. Robot navigation in dense human crowds: the case for cooperation , 2013, 2013 IEEE International Conference on Robotics and Automation.
[7] Christian Laugier,et al. Modelling Smooth Paths Using Gaussian Processes , 2007, FSR.
[8] Michel Bierlaire,et al. Discrete Choice Models for Pedestrian Walking Behavior , 2006 .
[9] Luc Van Gool,et al. Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings , 2010, ECCV.
[10] Silvio Savarese,et al. A Unified Framework for Multi-target Tracking and Collective Activity Recognition , 2012, ECCV.
[11] David J. Fleet,et al. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Gaussian Process Dynamical Model , 2007 .
[12] Yannick Boursier,et al. Sparsity Driven People Localization with a Heterogeneous Network of Cameras , 2011, Journal of Mathematical Imaging and Vision.
[13] Siddhartha S. Srinivasa,et al. Planning-based prediction for pedestrians , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[14] Mohamed R. Amer,et al. Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition , 2012, ECCV.
[15] Silvio Savarese,et al. Understanding Collective Activitiesof People from Videos , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Dani Lischinski,et al. Crowds by Example , 2007, Comput. Graph. Forum.
[17] Song-Chun Zhu,et al. Inferring "Dark Matter" and "Dark Energy" from Videos , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Wolfram Burgard,et al. Learning to predict trajectories of cooperatively navigating agents , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[19] David J. Fleet,et al. Correction to "Gaussian Process Dynamical Models for Human Motion" , 2008, IEEE Trans. Pattern Anal. Mach. Intell..
[20] Luis E. Ortiz,et al. Who are you with and where are you going? , 2011, CVPR 2011.
[21] Martial Hebert,et al. Activity Forecasting , 2012, ECCV.
[22] Marcus R. Frean,et al. Dependent Gaussian Processes , 2004, NIPS.
[23] Laurent D. Cohen,et al. JMIV Special Issue , 2011, Journal of Mathematical Imaging and Vision.
[24] Kai Oliver Arras,et al. People tracking with human motion predictions from social forces , 2010, 2010 IEEE International Conference on Robotics and Automation.
[25] 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.
[26] M. Bierlaire,et al. A discrete choice pedestrian behavior model for pedestrian detection in visual tracking systems , 2004 .
[27] Song-Chun Zhu,et al. Joint inference of groups, events and human roles in aerial videos , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Silvio Savarese,et al. Learning to Track: Online Multi-object Tracking by Decision Making , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[29] Simone Calderara,et al. Visual Tracking: An Experimental Survey , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] R. Hughes. The flow of human crowds , 2003 .
[31] Yannick Boursier,et al. A sparsity constrained inverse problem to locate people in a network of cameras , 2009, 2009 16th International Conference on Digital Signal Processing.
[32] 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).
[33] 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.
[34] Xiaogang Wang,et al. Understanding pedestrian behaviors from stationary crowd groups , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Andreas Krause,et al. Unfreezing the robot: Navigation in dense, interacting crowds , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[36] Yang Wang,et al. Beyond Actions: Discriminative Models for Contextual Group Activities , 2010, NIPS.
[37] Adrien Treuille,et al. Continuum crowds , 2006, ACM Trans. Graph..
[38] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[39] Charless C. Fowlkes,et al. Globally-optimal greedy algorithms for tracking a variable number of objects , 2011, CVPR 2011.
[40] Stefan Roth,et al. MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking , 2015, ArXiv.
[41] Anind K. Dey,et al. Maximum Entropy Inverse Reinforcement Learning , 2008, AAAI.
[42] Fei-Fei Li,et al. Socially-Aware Large-Scale Crowd Forecasting , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[43] S. Savarese,et al. Learning an Image-Based Motion Context for Multiple People Tracking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[44] Christian Vollmer,et al. Learning to navigate through crowded environments , 2010, 2010 IEEE International Conference on Robotics and Automation.
[45] Pierre Vandergheynst,et al. Robust real-time pedestrians detection in urban environments with low-resolution cameras , 2014 .
[46] Murat Kunt,et al. Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras , 2008, ECCV 2008.
[47] Sergey Levine,et al. Nonlinear Inverse Reinforcement Learning with Gaussian Processes , 2011, NIPS.
[48] Mubarak Shah,et al. Abnormal crowd behavior detection using social force model , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.