Research Of Shadow Elimination And Tracking Technology Of Video Objects

Video object tracking is an important task in the fields of computer vision, pattern recognition, artificial intelligence and image processing. Video object tracking analyses the image sequences shoot by camera and detects moving objects or various areas of interest in it, then estimates object locations in subsequent frames. This paper aims at object tracking in static scene, a method using the color feature and project histogram to eliminate shadow is proposed. It processes each detected area separately from the color, vertical, horizontal projection histogram. In addition, the object tracking method based on covariance is improved. Meanwhile, it handles objects entering, leaving, merging, separating and occlusion. Finally, an experimental video object tracking system is designed and developed. It uses modular implementation and achieves good performance. The experimental results show that the above methods eliminate the shadow of moving objects effectively and have higher accuracy in object tracking.