A Moving Object Detection Method Based on Brightness Distortion and Color Distortion
Mei Zhao · Jisuanji fangzhen · 2008
This paper presents a real-time algorithm of foreground-background segmentation for Moving Object Detection. The background model is generated by using the medium pixel values from an image sequence. In order to avoid the instability of normalized colors, the brightness of a background pixel is geometrically rescaled to the brightness of the current-frame pixel, and in this way the color distortion is calculated. Then subtract the current image from the background model and detect moving objects in color distortion and bright distortion. At last image morphologic filtering and connected component measurement are employed to remove the flecks of noise in the segmented binary image or detect the connectivity of different object area. Evaluation shows that this algorithm is simple and effective.