Motion pattern analysis in crowded scenes based on hybrid generative-discriminative feature maps
暂无分享,去创建一个
Zhe Wu | Xu Zhao | Yuncai Liu | Chongjing Wang | Yuncai Liu | Xu Zhao | Zhe Wu | Chongjing Wang
[1] Cordelia Schmid,et al. Action recognition by dense trajectories , 2011, CVPR 2011.
[2] Xu Zhao,et al. Detecting Motion Patterns in Dynamic Crowd Scenes , 2011, 2011 Sixth International Conference on Image and Graphics.
[3] Minsu Cho,et al. Authority-shift clustering: Hierarchical clustering by authority seeking on graphs , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[4] Ramakant Nevatia,et al. Tracking multiple humans in crowded environment , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[5] Mubarak Shah,et al. Learning motion patterns in crowded scenes using motion flow field , 2008, 2008 19th International Conference on Pattern Recognition.
[6] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[7] Ognjen Arandjelovic,et al. Contextually Learnt Detection of Unusual Motion-Based Behaviour in Crowded Public Spaces , 2013, ISCIS.
[8] Tai Sing Lee,et al. Hybrid generative-discriminative classification using posterior divergence , 2011, CVPR 2011.
[9] W. Eric L. Grimson,et al. Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Ognjen Arandjelovic,et al. Crowd Detection from Still Images , 2008, BMVC.
[11] W. Eric L. Grimson,et al. Unsupervised Activity Perception by Hierarchical Bayesian Models , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[13] Mubarak Shah,et al. Floor Fields for Tracking in High Density Crowd Scenes , 2008, ECCV.
[14] Ognjen Arandjelovic,et al. Multiple-object Tracking in Cluttered and Crowded Public Spaces , 2010, ISVC.
[15] Mubarak Shah,et al. A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Mubarak Shah,et al. A Streakline Representation of Flow in Crowded Scenes , 2010, ECCV.
[17] Xiaogang Wang,et al. Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Mubarak Shah,et al. Scene understanding by statistical modeling of motion patterns , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] M. Shah,et al. Taming crowded visual scenes , 2008 .
[20] Zhe Wu,et al. Hybrid generative-discriminative recognition of human action in 3D joint space , 2012, ACM Multimedia.
[21] Takahiro Okabe,et al. Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[22] Frank Dellaert,et al. An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets , 2004, ECCV.
[23] Kurt Keutzer,et al. Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow , 2010, ECCV.