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作者:

Huang, Xunping (Huang, Xunping.) | Zhang, Ridong (Zhang, Ridong.) | Jia, Kebin (Jia, Kebin.) (学者:贾克斌) | Wang, Zuyun (Wang, Zuyun.) | Nie, Wenzhen (Nie, Wenzhen.)

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EI Scopus

摘要:

The Adaboost vehicle detection algorithm based on Haar feature has a good performance in real-time and accuracy. However, the method has a lot of omission and error detection in the detection of Special vehicle under complicated traffic flow. In this paper, a method of taxi window area detection is proposed to replace vehicle detection. At the same time, a method of sliding color histogram matching is proposed to reduce the error detection. Finally, the traffic surveillance video is used to verify the algorithm, Detection results proves that the algorithm has a good accuracy and real-time performance for the detection of taxi vehicles. © 2018 IEEE.

关键词:

Adaptive boosting Color matching Error detection Graphic methods Security systems Taxicabs Vehicle performance

作者机构:

  • [ 1 ] [Huang, Xunping]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Huang, Xunping]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 3 ] [Huang, Xunping]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Huang, Xunping]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Zhang, Ridong]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Zhang, Ridong]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 7 ] [Zhang, Ridong]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Zhang, Ridong]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Jia, Kebin]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Jia, Kebin]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 11 ] [Jia, Kebin]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Jia, Kebin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 13 ] [Wang, Zuyun]Traffic Execution BR Gade of Beijing, China
  • [ 14 ] [Nie, Wenzhen]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 15 ] [Nie, Wenzhen]Beijing Laboratory of Advanced Information Networks, Beijing; 100124, China
  • [ 16 ] [Nie, Wenzhen]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 17 ] [Nie, Wenzhen]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China

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年份: 2018

页码: 86-90

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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