Crowd Analysis Using Computer Vision Techniques

This article presents a survey on crowd analysis using computer vision techniques, covering different aspects such as people tracking, crowd density estimation, event detection, validation, and simulation. It also reports how related the areas of computer vision and computer graphics should be to deal with current challenges in crowd analysis.

[1]  Takeo Kanade,et al.  Tracking in unstructured crowded scenes , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[2]  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).

[3]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[4]  A. Marana,et al.  On the efficacy of texture analysis for crowd monitoring , 1998, Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237).

[5]  M. Nixon,et al.  On crowd density estimation for surveillance , 2006 .

[6]  W. Eric L. Grimson,et al.  Unsupervised Activity Perception by Hierarchical Bayesian Models , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  P. Shalit The Silent Language , 1964 .

[8]  Daniel Snow,et al.  Pedestrian detection using boosted features over many frames , 2008, 2008 19th International Conference on Pattern Recognition.

[9]  Hai Tao,et al.  A Viewpoint Invariant Approach for Crowd Counting , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[10]  Andrew J. Chosak,et al.  OVVV: Using Virtual Worlds to Design and Evaluate Surveillance Systems , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  L. Li,et al.  On pixel count based crowd density estimation for visual surveillance , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

[12]  Sergio A. Velastin,et al.  Crowd analysis: a survey , 2008, Machine Vision and Applications.

[13]  Bernt Schiele,et al.  Pedestrian detection in crowded scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[14]  Adrian Hilton,et al.  A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..

[15]  Sergio A. Velastin,et al.  Crowd monitoring using image processing , 1995 .

[16]  Sheng-Fuu Lin,et al.  Estimation of number of people in crowded scenes using perspective transformation , 2001, IEEE Trans. Syst. Man Cybern. Part A.

[17]  Nuno Vasconcelos,et al.  Privacy preserving crowd monitoring: Counting people without people models or tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[18]  Nuno Vasconcelos,et al.  Bayesian Poisson regression for crowd counting , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[19]  Robert B. Fisher,et al.  Modelling Crowd Scenes for Event Detection , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[20]  Vittorio Murino,et al.  A real-time vision system for crowding monitoring , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[21]  Mubarak Shah,et al.  Floor Fields for Tracking in High Density Crowd Scenes , 2008, ECCV.

[22]  Ramakant Nevatia,et al.  Bayesian human segmentation in crowded situations , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[23]  John Soldera,et al.  Understanding people motion in video sequences using Voronoi diagrams , 2007, Pattern Analysis and Applications.

[24]  Ernesto Andrade,et al.  Simulation of Crowd Problems for Computer Vision , 2005 .

[25]  L. Kratz,et al.  Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Nicolas Courty,et al.  Crowd motion capture , 2007, Comput. Animat. Virtual Worlds.

[27]  Anil M. Cheriyadat,et al.  Detecting Dominant Motions in Dense Crowds , 2008, IEEE Journal of Selected Topics in Signal Processing.

[28]  Serge J. Belongie,et al.  Counting Crowded Moving Objects , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[29]  Mubarak Shah,et al.  Abnormal crowd behavior detection using social force model , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[30]  Tommy W. S. Chow,et al.  A neural-based crowd estimation by hybrid global learning algorithm , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[31]  Roberto Cipolla,et al.  Unsupervised Bayesian Detection of Independent Motion in Crowds , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[32]  Leonidas J. Guibas,et al.  Counting people in crowds with a real-time network of simple image sensors , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[33]  Carlo S. Regazzoni,et al.  Integration of multisensor data for overcrowding estimation , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

[34]  Yangsheng Xu,et al.  Crowd Density Estimation Using Texture Analysis and Learning , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.

[35]  R MusseSoraia,et al.  Using computer vision to simulate the motion of virtual agents , 2007 .

[36]  Peter H. Tu,et al.  Simultaneous estimation of segmentation and shape , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[37]  Nicolas Courty,et al.  Crowd Flow Characterization with Optimal Control Theory , 2009, ACCV.

[38]  Osama Masoud,et al.  Estimating pedestrian counts in groups , 2008, Comput. Vis. Image Underst..

[39]  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.

[40]  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.

[41]  Soraia Raupp Musse,et al.  Using computer vision to simulate the motion of virtual agents , 2007, Comput. Animat. Virtual Worlds.