Journal of Xidian University ›› 2016, Vol. 43 ›› Issue (2): 139-144.doi: 10.3969/j.issn.1001-2400.2016.02.024

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Traffic violation detection based on the implicit curves family

MA Liwen1,2;GUO Yukun1,2;LI Jinping1,2   

  1. (1. School of Information Science and Engineering, Univ. of Ji'nan, Ji'nan  250022, China;
    2. Shandong Provincial Key Lab. of Network Based Intelligent Computing, Ji'nan  250022, China)
  • Received:2014-10-24 Online:2016-04-20 Published:2016-05-27
  • Contact: LI Jinping E-mail:ise_lijp@ujn.edu.cn

Abstract:

We propose an effective algorithm for the detection of the traffic violation vehicle by employing a set of implicit function curves which can be used to describe the different regions on the roads. When the vehicles are detected to run across different road regions, we can determine in which region that vehicle lies easily and immediately by using the set of implicit functions. According to the vehicle trajectory and the relationship among different regions described by the implicit functions, we can quickly and accurately determine whether the vehicle violates the traffic rules. In order to improve the detection efficiency and accuracy greatly, we use the piecewise linear functions to approximate the set of implicit functions in actual detection. Experimental results show that our algorithm can detect the traffic violation and display the specific violated traffic rules in real time.

Key words: intelligent transportation, traffic violation detection, implicit curve family, piecewise linear functions