计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 233-237.doi: 10.11896/j.issn.1002-137X.2017.11A.049
董天阳,朱浩楠,王浩
DONG Tian-yang, ZHU Hao-nan and WANG Hao
摘要： 针对夜间高速光照条件差、车灯种类多样、环境因素干扰等导致的车辆难以检测的问题,提出了一种基于视频的夜间车辆的检测与跟踪算法。该方法首先将OTSU与一维最大熵阈值分割算法相结合来实现车灯的提取,剔除非车灯光源；然后利用车灯的时空特性完成车灯的匹配,解决了一车多灯和并排同速车辆的问题；最后利用kalman滤波器完成车灯的预测跟踪。在交通弱光流畅交通、正常光流畅交通和正常光拥堵交通3种应用场景下对所提算法进行应用和结果分析,实验结果表明所提方法在保证实时性的同时具有较高的准确率。
| [1] SALVI G.An Automated Nighttime Vehicle Counting and Detection System for Traffic Surveillance[C]∥International Conference on Computational Science and Computational Intelligence (CSCI).New York:IEEE,2014:131-136. [2] LIN S P,CHEN Y H,WU B F.A real-time multiple-vehicle detection and tracking system with prior occlusion detection and resolution,and prior queue detection and resolution[C]∥18th International Conference on Pattern Recognition.New York:IEEE,2006:828-831. [3] HSIEH J W,YU S H,CHEN Y S,et al.An Automatic traffic surveillance system for vehicle tracking and classification[J].IEEE Transactions on Intelligent Transportation Systems,2003,7(2):175-187. [4] SONG X,NEVATIA R.Robust Vehicle Blob Tracking with Split/Merge Handling[C]∥Proceedings of the 1st international eva-luation conference on Classification of events,activities and relationships(CLEAR’06).Verlag Berlin:Springer,2006:216-222. [5] ZHOU S,LI J,SHEN Z,et al.A night time application for areal-time vehicle detection algorithm based on computer vision[J].In Res.J.Appl.Sci.Eng.Technol,2013,5(10):3037-3043. [6] 王鹏,黄凯奇.基于视频的夜间高速公路车辆事件检测[J].中国图象图形学报,2010,15(2):301-306. [7] WU B F,CHEN Y L,CHIU C C.A Discriminant AnalysisBased Recursive Automatic Thresholding Approach for Image Segmentation[J].Ieice Transactions on Information & Systems,2005,88(7):1716-1723. [8] ZHANG W,WU Q M J,WANG G,et al.Tracking and pairing vehicle headlight in night scenes[J].IEEE Transactions on Intelligent Transportation Systems,2012,13(1):140-153. [9] WU J T,LEE J D,CHIEN J C,et al.Nighttime Vehicle Detection at Close Range Using Vehicle Lamps Information[C]∥International Symposium on Computer,Consumer and Control.New York:IEEE,2014,7-1240. [10] WANG W,SHEN C,ZHANG J,et al.A two-layer night-timevehicle detector[M]∥Digital Image Computing:Techniques and Applications.New York:IEEE,2009:162-167. [11] VIOLA P,JONES M.Rapid Object Detection using a Boosted Cascade of Simple Features[C]∥Computer Vision and Pattern Recognition.Washington D C:IEEE Computer Society,2001:511. [12] ROBERT K.Night-time traffic surveillance:A robust frame-work for multi-vehicle detection,classification and tracking[C]∥Advanced Video and Signal Based Surveillance.New York:IEEE,2009:1-6. |
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