Codebook-based Algorithm for Moving Object Detection from Surveillance Video
Guohui Li · Jisuanji gongcheng · 2007
This paper proposes a background modeling and subtraction algorithm to detect moving objects from color video sequence captured by surveillance system.Background values are quantized into codebooks with respect to color distortion and brightness distortion.Pixel values of new frames are compared with the codebooks to identify foreground pixels.The algorithm is efficient in computation and takes up less memory.It can also handle scenes containing moving backgrounds and illumination variations.