Computer Engineering and Applications ›› 2018, Vol. 54 ›› Issue (6): 205-209.DOI: 10.3778/j.issn.1002-8331.1609-0384
TANG Chunming, XIAO Wenna, DONG Yancheng, LIN Xiangqing
The presented tracking system combines the vehicle’s type and trajectory feedback correction in order to obtain the complete trajectory in nighttime traffic surveillance. After filtering the restored headlight blobs in the distant, middle and close regions separately, the initial trajectories of headlights are obtained by area overlapping and trajectory feedback is then used for correction mismatching. Vehicles are classified according to the actual vehicle’s width which is calculated by homography matrix. Based on the temporal and spatial similarity, headlights are paired. The obtained trajectories of vehicles are finally corrected and optimized. The complete extraction of vehicles’ trajectories between the two adjacent monitoring points are achieved. Compared with the other similar algorithms, the number of frames that vehicles are tracked is increased by 500 frames, headlight matching rate is increased by 11.33% and vehicle tracking rate is increased by 10%.
complete trajectory extraction,
TANG Chunming, XIAO Wenna, DONG Yancheng, LIN Xiangqing. Complete extraction of trajectories of different vehicles in nighttime city traffic surveillance[J]. Computer Engineering and Applications, 2018, 54(6): 205-209.
汤春明，肖文娜，董燕成，林祥清. 夜间城市交通监控中各类车辆轨迹的完整提取[J]. 计算机工程与应用, 2018, 54(6): 205-209.
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