Target Detection Algorithm Based on the Movement of Codebook Model

Movement target detection is the researchful emphasis and aporia in the fields of computer vision, model recognition and video coding. In order to extract moving targets from the complex background scenes, this paper puts forward to calculate the color distortion degree by means of getting every pixel or a group of pixels of time series model, and converting pixels from RGB space to HSV space. Based on the background Codebook model of the target motion detection algorithm, the experiment shows that the method can achieve better target detection quality.

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

[2]  Christoph Bregler,et al.  Learning and recognizing human dynamics in video sequences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  Hans-Hellmut Nagel,et al.  Model-based object tracking in monocular image sequences of road traffic scenes , 1993, International Journal of Computer 11263on.

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

[5]  Heinrich Niemann,et al.  Statistical modeling and performance characterization of a real-time dual camera surveillance system , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[6]  Alex Pentland,et al.  Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[7]  Larry S. Davis,et al.  Non-parametric Model for Background Subtraction , 2000, ECCV.