Unusual human behavior recognition using evolutionary technique
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Mitsuo Gen | Lin Lin | Runwei Cheng | YongSu Seo | M. Gen | Lin Lin | R. Cheng | Yong-soon Seo
[1] K. Rohr. Towards model-based recognition of human movements in image sequences , 1994 .
[2] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[3] Jitendra Malik,et al. Robust Multiple Car Tracking with Occlusion Reasoning , 1994, ECCV.
[4] Michael J. Black,et al. EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation , 1996, International Journal of Computer Vision.
[5] Alex Pentland,et al. Pfinder: real-time tracking of the human body , 1996, Other Conferences.
[6] Gregory D. Hager,et al. Efficient Region Tracking With Parametric Models of Geometry and Illumination , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Hai Tao,et al. Object Tracking with Bayesian Estimation of Dynamic Layer Representations , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Paul W. Fieguth,et al. Color-based tracking of heads and other mobile objects at video frame rates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Simon Baker,et al. Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.
[10] Larry S. Davis,et al. Hydra: multiple people detection and tracking using silhouettes , 1999, Proceedings 10th International Conference on Image Analysis and Processing.
[11] Ian D. Reid,et al. Automatic partitioning of high dimensional search spaces associated with articulated body motion capture , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[12] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[13] Thomas B. Moeslund,et al. A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..
[14] Larry S. Davis,et al. Probabilistic tracking in joint feature-spatial spaces , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[15] Rómer Rosales,et al. 3D trajectory recovery for tracking multiple objects and trajectory guided recognition of actions , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[16] Andrew Blake,et al. A sparse probabilistic learning algorithm for real-time tracking , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[17] Ramakant Nevatia,et al. Multi-agent event recognition , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[18] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[19] David J. Fleet,et al. Stochastic Tracking of 3D Human Figures Using 2D Image Motion , 2000, ECCV.
[20] Robert T. Collins,et al. Mean-shift blob tracking through scale space , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[21] Shaogang Gong,et al. Tracking colour objects using adaptive mixture models , 1999, Image Vis. Comput..
[22] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[23] Larry S. Davis,et al. W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[24] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.