Detection and classification of traffic lights for automated setup of road surveillance systems

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• 作者：Xingmin Shi ; Na Zhao ; Yingjie Xia
• 关键词：Traffic lights ; Detection ; Classification ; Support vector machines
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：75
• 期：20
• 页码：12547-12562
• 全文大小：2,055 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721
• 卷排序：75

文摘

Traffic light plays an important role in controlling the traffic flow to maintain order. The state of the traffic light is used in automatic detection of illegal motions against traffic rules. In this paper, a video based-method is proposed to tackle the problem of detection and classification of traffic lights in the scenes, thus providing an automated setup of road surveillance systems in intelligent transportation systems (ITS). Firstly, the proposed method localizes the regions of traffic lights by detecting the regularity in which the traffic light colors change, and then classify the traffic lights by an SVM classifier on their shape features. This method is insensitive to illumination changing and adaptable to various kinds of shape settings. Finally, the experimental results show that this method is efficient and effective in automatically recognizing traffic lights.