Foreground detection based on optical flow and background subtract

2010 International Conference on Communications, Circuits and Systems, ICCCAS 2010 - Proceedings

Volumn , Issue , 2010, Pages 359-362

  Li, Wei ^a   Wu, Xiaojuan ^a   Matsumoto, Koichi ^b   Zhao, Hua An ^b  

^a SHANDONG UNIVERSITY   (China)

^b KUMAMOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; BACKGROUND MODEL; CROWD DENSITY; ERROR RATE; FOREGROUND DETECTION; GAUSSIAN BACKGROUND; LUCAS-KANADE; MOTION ANALYSIS;

BEHAVIORAL RESEARCH; MODELS;

OPTICAL FLOWS;

EID: 78249258132     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCAS.2010.5581985     Document Type: Conference Paper

References (9)

1. Q.Y. Zhou and S.Q. Liu, "Moving Human Behavior Analysis", Bulletin of Advanced Technology Research, vol. 3, No. 5, 2009, pp 47-5I.
2. A. Lipton, H. Fujiyoshi and R. Patil, "Moving target classification and tracking from real-time video", The 4th IEEE Workshop on Applications of Computer Vision, Princeton, 1998, pp 8-14.
3. B.K.P. Horn and B.G. Schunck, "Determining optical flow", Artificial Intelligence, vol. 17, 1981, pp 185-203.
4. B. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," Proceedings of Imaging understanding workshop, 1981, pp 121-130.
5. C. Stauffer and W. Grimson, "Adaptive background mixture models for real-time tracking," 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.2, 1999, pp. 246-252.
6. R. Gonzalez, R. Woods, and S. Eddins, "Digital Image Processing, 2nd ed," Prentice Hall, Upper Saddle River, NJ, 2002.
7. H. Rahmalan, M.S. Nixon and J. N. Carter, "On Crowd Density Estimation for Surveillance", International Conference on Crime Detection and Prevention, 2006.
8. R. Haralick, "Statistical and Structural Approaches to Texture," proceeding of IEEE, vol.67, 1979, pp. 786-804.
9. R.J. Prokop and A.P. Reeves, "A Survey of Moment-Based Techniques for Unoccluded Object Representation and Recognition," Graphical Models and Image Processing 54 (GMIP54], No. 5, 1992, pp. 438-460.