Objects detecting based on adaptive background models and multiple cues

Proceedings - ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008

Volumn 1, Issue , 2008, Pages 285-289

  Chen, Yuan ^a   Yu, Shengsheng ^a   Sun, Weiping ^a   Li, Hongxing ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Wuhan International Trade University   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE; BACKGROUND IMAGES; BACKGROUND MODELING; BACKGROUND MODELS; BACKGROUND SUBTRACTIONS; INPUT VIDEOS; MAIN PROCESSES; MOVING OBJECTS; OBJECTS DETECTIONS; POST-PROCESSING; PREPROCESSING MODULES;

COMPUTER VISION; IMAGE PROCESSING; LEARNING ALGORITHMS;

COMPUTER APPLICATIONS;

EID: 54149087153     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCCM.2008.288     Document Type: Conference Paper

References (7)

1. D. Crandall and J. Luo, "Robust color object detection using spatial-color joint probability functions," in Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, Jun 27-Jul 2 2004, pp. 379-385.
2. J. Weng, N. Ahuja and T. S. Huang, "Matching two perspective views," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, 1992, pp. 806-825.
3. W. Krattenthaler, K. J. Mayer and M. Zeiller, "Point correlation: a reduced-cost template matching technique," in Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 1 (of 3), Nov 13-16 1994, pp. 208-212.
4. S. Sclaroff and L. Liu, "Deformable shape detection and description via model-based region grouping," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, 2001, pp. 475-489.
5. L. Li, W. Huang, I. Y. Gu and Q. Tian, "Statistical modeling of complex backgrounds for foreground object detection," IEEE Transactions on Image Processing, vol. 13, 2004, pp. 1459-1472.
6. A. Elgammal D. Hawood. and L. Davis. "Non-parametric Model for Background Subtraction", European Conference on Computer Vision, 2000, pp. 751-767.
7. C. Stauffer and W. E. Grimson, "Adaptive background mixture models for real-time tracking," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, 1999, pp. 246-252.