Attention-based dense crowds analysis

11th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 10

Volumn , Issue , 2010, Pages

  Mancas, Matei ^a  

^a UNIVERSITY OF MONS   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ATTENTION MODEL; CAMERA SHAKE; HUMAN ATTENTION; MOTION BEHAVIOR; SOCIAL INTERACTIONS; VIDEO ANALYSIS; VIDEO FRAME;

ALGORITHMS; IMAGE ANALYSIS; SECURITY SYSTEMS;

MULTIMEDIA SERVICES;

EID: 78649973236     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. A. Marana, S. Velastin, L. Costa, and R. Lotufo. "Estimation of crowd density using image processing," Image Processing for Security Applications, IEEE Colloquium, pages 11/1-11/8, 1997.
2. R. Ma, L. Li, W. Huang, and Q. Tian. "On pixel count based crowd density estimation for visual surveillance," Cybernetics and Intelligent Systems, 2004 IEEE Conference, vol. 1: 170-173, 2004.
3. B. Boghossian and S. Velastin. "Motion-based machine vision techniques for the management of large crowds," Electronics, Circuits and Systems, vol. 2:961-964, 1999.
4. S.-F. Lin, J.-Y. Chen, and H.-X. Chao. "Estimation of number of people in crowded scenes using perspective transformation," Systems, Man and Cybernetics, IEEE Transactions, 31 (6):645- 654, 2001.
5. E. Andrade, S. Blunsden, and R. Fisher. "Hidden markov models for optical flow analysis in crowds," ICPR 2006., vol. 1:460-463, 2006.
6. S. Ali and M. Shah. "A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis," CVPR '07., pages 1-6, 2007.
7. N. Ihaddadene, and C. Djeraba. "Real-time crowd motion analysis," ICPR 2008, pages 1-4, 2008.
8. M. Mancas, D. Glowinski, G. Volpe, A. Camurri, P. Breteche, J. Demeyer, T. Ravet, P. Coletta. "Real-Time Motion Attention and Expressive Gesture Interfaces," Journal On Multimodal User Interfaces (JMUI), Springer Berlin/Heidelberg, 2009.
9. M. Mancas. "Relative influence of bottom-up and top-down attention," Attention in Cognitive Systems, LNCS, Volume 5395/2009:pp. 212-226, 2009.