Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 340-344.doi: 10.11896/jsjkx.210200004

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Centroid Method Based Target Tracking and Application for Internet of Vehicles

YE Yang, LU Qi, CHENG Shi-wei   

  1. School of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:YE Yang,born in 1980,postgraduate,lab master,is a member of China Computer Federation.His main research interests include virtual reality,digital image processing and human-computer interaction.
  • Supported by:
    National Key Research & Development Program of China(2016YFB1001403).

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Abstract: Vehicle target tracking is an indispensable part of the realization of the Internet of Vehicles,which aims to obtain vehicle dynamic information to improve the efficiency of traffic operation.Its core is to analyze and process the video images collected by a large number of monitoring probes to realize real-time detection and tracking of vehicles.In order to further improve the efficiency of target detection and reduce hardware costs,this paper proposes a foreground detection method based on the two-frame difference method,and a vehicle contour detection and tracking method based on the centroid method.Based on OpenCV3.4.1 and VS2017,the algorithm verification and simulation test are carried out.The results show that the accuracy of the algorithm for vehicle tracking reaches 92.3%,and the average processing time is 42.63 ms.It can be deployed and applied on embedded devices in the Internet of Vehicles.

Key words: Centroid method, OpenCV, Target tracking

CLC Number: 

  • TP311
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