计算机工程与应用2018，Vol.54Issue(6)：205-209,5.DOI:10.3778/j.issn.1002-8331.1609-0384
夜间城市交通监控中各类车辆轨迹的完整提取
Complete extraction of trajectories of different vehicles in nighttime city traffic surveillance
摘要
Abstract
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 trajec-tories 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 vehi-cles are tracked is increased by 500 frames,headlight matching rate is increased by 11.33% and vehicle tracking rate is increased by 10%.关键词
轨迹完整提取/车辆分类/反馈修正Key words
complete trajectory extraction/vehicles classification/feedback correction分类
信息技术与安全科学引用本文复制引用
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):205-209,5.基金项目
天津市第三批千人计划项目(No.62014511) （No.62014511）
天津工业大学引进教师科研启动项目(No.030367). （No.030367）
