Occluded vehicles segmentation based on perspective point and feature blocks
Zhen Tian · Jisuanji gongcheng yu sheji · 2012
A new method is proposed based on the perspective point and characteristic blocks to segment the occluded vehicles on the freeway to resolve the multi-vehicle occlusion appearing in vehicle detecting and tracking.Perspective points and road regions are detected according to lane line in the highway scene.Combining the Gaussian mixture model(GMM) and the morphological gradient,the vehicle foreground is obtained.With the perspective point and contours of foreground blobs,occlude vehicles are detected and segmented in sequence from front to back.The feature blocks of vehicles are used to identify and amend the incorrect segments,finally the occluded vehicles are segmented one by one.Experiments on various typical highway scenes show the effectiveness of the proposed method in real time tracking.