Real-time vehicles tracking based on Kalman filter in a video-based ITS

  title={Real-time vehicles tracking based on Kalman filter in a video-based ITS},
  author={Lei Xie and Guangxi Zhu and Yuqi Wang and Haixiang Xu and Zhenming Zhang},
  journal={Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005.},
Tracking vehicles is an important and challenging issue in video-based intelligent transportation systems and has been broadly investigated in the past. This paper presents a robust and real-time method for tracking vehicles and the proposed algorithm includes two stages: vehicle detection, vehicle tracking. Vehicle detection is a key step and the concept of tracking vehicle is built upon the vehicle-segmentation method. According to the segmented vehicle shape, we propose a three-step… CONTINUE READING
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