Vehicle Detection Based on Feature of Optical Flow
Zhao Xiao-hui · 2011
In allusion to describe detection and tracking of moving targets,it is an import role of the appearance of optical flow,especially for real-time detection of vehicle under dynamic background.There are many advantages for optical flow than other means.The key idea in this paper is to introduce detection both under static and dynamic background.Optical Flow is a more complex algorithm than others because of its large calculation.So in this paper choose to extract features to assist optical flow algorithm in order to lessen work.At the same time,to collect ROI at the basis of some preprocessing play a very important part to detect under dynamic background.After these steps,we can obtain rough optical flow,so we should make template matching to cut out noise which we don't like.So we can get nice result at the end.