关键词: 交通工程, 车辆跟踪, 均值漂移, 尺度不变特征, 归一化割

Abstract:

The vehicle tracking at intersection environment is affected by vehicle scale change, occlusion, vehicle queue and dissipation. To solve the problem, a reinforcement algorithm is proposed by using the rotation robustness and scale-invariant characteristics of SIFT feature, combing with region color histogram to track vehicle in scale change and occlusion situation. This paper also establishes criteria for vehicle separation and integrates clustering algorithm to detect and track departing vehicle. The experiment result shows that compare with traditional algorithm, the proposed algorithm provide more robust and more accurate result in multiple traffic scenes.

Key words: traffic engineering, vehicle tracking, mean-shift, scale invariant feature transform, normalized cut