Moving target detection under complex background based on code book

For intelligent video monitor system, how to detect the moving target accurately is a key problem needed to be solved. The problem is more serious when background is complex. This paper uses a method based on code book to segment the foreground and background to detect the moving targets under complex background. This method uses the threshold of the color distortion of and brightness distortion. It creates a code book for each pixel, and each code book includes one or more code words. Code book will be updated as same as code word. The experimental results prove that even if the movement and brightness of background changes, this method can detect the moving target effectively and has good robustness.

[1]  KimKyungnam,et al.  Real-time foreground-background segmentation using codebook model , 2005 .

[2]  Tieniu Tan,et al.  A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[3]  Azriel Rosenfeld,et al.  Tracking Groups of People , 2000, Comput. Vis. Image Underst..

[4]  David J. Fleet,et al.  Performance of optical flow techniques , 1994, International Journal of Computer Vision.

[5]  Larry S. Davis,et al.  Real-time foreground-background segmentation using codebook model , 2005, Real Time Imaging.

[6]  Hironobu Fujiyoshi,et al.  Moving target classification and tracking from real-time video , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

[7]  Larry S. Davis,et al.  Background modeling and subtraction by codebook construction , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[8]  N. Zarka,et al.  Real-Time Human Motion Detection and Tracking , 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.

[9]  Larry S. Davis,et al.  W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Joachim Denzler,et al.  Model based extraction of articulated objects in image sequences for gait analysis , 1997, Proceedings of International Conference on Image Processing.