Relating Real Crowds with Virtual Crowds
暂无分享,去创建一个
[1] Helmut E. Bez,et al. A practical adaptive approach for dynamic background subtraction using an invariant colour model and object tracking , 2005, Pattern Recognit. Lett..
[2] Lubos Buzna,et al. Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions , 2005, Transp. Sci..
[3] Alex Pentland,et al. Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Dirk Helbing,et al. Simulating dynamical features of escape panic , 2000, Nature.
[5] Frank Schweitzer,et al. Self-Organization of Complex Structures: From Individual to Collective Dynamics - Some Introductory , 1997 .
[6] Azriel Rosenfeld,et al. Tracking Groups of People , 2000, Comput. Vis. Image Underst..
[7] Anil K. Jain,et al. Unsupervised Learning of Finite Mixture Models , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Ferdinand van der Heijden,et al. Efficient adaptive density estimation per image pixel for the task of background subtraction , 2006, Pattern Recognit. Lett..
[9] D. Helbing,et al. Self-Organization Phenomena in Pedestrian Crowds , 1998, cond-mat/9806152.
[10] Sergio A. Velastin,et al. People tracking in surveillance applications , 2006, Image Vis. Comput..
[11] Daniel Thalmann,et al. Hierarchical Model for Real Time Simulation of Virtual Human Crowds , 2001, IEEE Trans. Vis. Comput. Graph..
[12] Soraia Raupp Musse,et al. Modeling individual behaviors in crowd simulation , 2003, Proceedings 11th IEEE International Workshop on Program Comprehension.
[13] Sameer Singh,et al. Video analysis of human dynamics - a survey , 2003, Real Time Imaging.
[14] Fatih Murat Porikli,et al. Covariance Tracking using Model Update Based on Lie Algebra , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[15] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[16] Reinhard Koch,et al. A Color Similarity Measure for Robust Shadow Removal in Real Time , 2003, VMV.
[17] Xuelong Li,et al. Cast shadow detection in video segmentation , 2005, Pattern Recognit. Lett..
[18] Jerry L. Prince,et al. Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..
[19] Sei-Wang Chen,et al. Pedestrian detection and tracking at crossroads , 2004, Pattern Recognit..
[20] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[21] David R. Bull,et al. Projective image restoration using sparsity regularization , 2013, 2013 IEEE International Conference on Image Processing.
[22] E. R. Davies,et al. Machine vision - theory, algorithms, practicalities , 2004 .
[23] Fang-Hsuan Cheng,et al. Real time multiple objects tracking and identification based on discrete wavelet transform , 2006, Pattern Recognit..
[24] C. Rabut,et al. Vectorial interpolation using radial-basis-like functions , 2002 .
[25] Youtian Du,et al. Recognizing Interaction Activities using Dynamic Bayesian Network , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[26] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[27] David C. Brogan,et al. Realistic human walking paths , 2003, Proceedings 11th IEEE International Workshop on Program Comprehension.
[28] Cedric Nishan Canagarajah,et al. Perceptually optimised sign language video coding , 2003, 10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003.
[29] John C. Davis,et al. Contouring: A Guide to the Analysis and Display of Spatial Data , 1992 .
[30] Sergio A. Velastin,et al. Motion-based machine vision techniques for the management of large crowds , 1999, ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357).
[31] Tieniu Tan,et al. Recent developments in human motion analysis , 2003, Pattern Recognit..
[32] Sergio A. Velastin,et al. Intelligent distributed surveillance systems: a review , 2005 .
[33] Alex Pentland,et al. A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[34] Imran N. Junejo,et al. Multi feature path modeling for video surveillance , 2004, ICPR 2004.
[35] Adrian Hilton,et al. A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..
[36] Soraia Raupp Musse,et al. A Background Subtraction Model Adapted to Illumination Changes , 2006, 2006 International Conference on Image Processing.
[37] Rita Cucchiara,et al. Detecting Moving Objects, Ghosts, and Shadows in Video Streams , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Quan Pan,et al. Real-time multiple objects tracking with occlusion handling in dynamic scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[39] Tieniu Tan,et al. People tracking based on motion model and motion constraints with automatic initialization , 2004, Pattern Recognit..
[40] Tim J. Ellis,et al. Learning semantic scene models from observing activity in visual surveillance , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[41] Jessica K. Hodgins,et al. Reactive pedestrian path following from examples , 2004, The Visual Computer.
[42] 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).
[43] Michael E. Roloff. Interpersonal Communication: The Social Exchange Approach , 1982 .
[44] Larry S. Davis,et al. W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[45] Shaogang Gong,et al. Recognition of group activities using dynamic probabilistic networks , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[46] Richard Bowden,et al. A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes , 2003, Image Vis. Comput..
[47] Max Lu,et al. Robust and efficient foreground analysis for real-time video surveillance , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[48] Yang Wang,et al. A probabilistic approach for foreground and shadow segmentation in monocular image sequences , 2005, Pattern Recognit..
[49] Liang-Gee Chen,et al. Efficient moving object segmentation algorithm using background registration technique , 2002, IEEE Trans. Circuits Syst. Video Technol..
[50] Ehud Rivlin,et al. Robust Fragments-based Tracking using the Integral Histogram , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[51] Norman I. Badler,et al. Pedestrians: creating agent behaviors through statistical analysis of observation data , 2001, Proceedings Computer Animation 2001. Fourteenth Conference on Computer Animation (Cat. No.01TH8596).
[52] Stephen Chenney,et al. Flow tiles , 2004, SCA '04.
[53] L. Davis,et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002, Proc. IEEE.
[54] Pierre Mannoni. La psychologie collective , 1985 .