Method for detecting and tracking vehicles in complex traffic scene
Jiang Gang-yi · Guangdian gongcheng · 2005
A new method for detecting and tracking vehicles in complex traffic scene is proposed. The method based on motion object segmentation by means of background difference and background subtraction from motion edge detection, identifies the vehicles through regional fusion of the interested regions which are respect to the vehicles or not in terms of some proposed rules. A new vehicle detection method based on regional characteristic matching is proposed, by which the distance between characteristic vectors of regions in vehicle list and the characteristic vectors of current frame motion regions can be calculated and used to match current motion regions and track the vehicles. Experimental results show that the method, with the aid of proposed concepts of ‘confirmed vehicle’ and ‘temporary vehicle’ for recovering momentarily missed vehicles or distinguishing obscured vehicles, can extract traffic information at real time.