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• [P528] Viewpoint Independent Vehicle Speed Estimation From Uncalibrated Traffic Surveillance Cameras
  Author(s): Haili Mao, Chengxi Ye, Mingli Song, Jiajun Bu, Na Li
  
  

  Abstract
  We present here a prototype of an algorithm for vehicle speed estimation. Different from previous approaches, our algorithm requires no road markers and fewer manual calibrations. Based on specific projection rules, we find a relation between the in-camera coordinate and the real world coordinate. A non-linear regression is employed to estimate the model parameters. This model enables us to estimate the real world position of the vehicles directly from a video sequence taken by a surveillance camera. The algorithm shows its ability to produce accurate estimations in our experiments.

  
   

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