Real-time multi-vehicle tracking based on feature detection and color probability model

@article{Huang2010RealtimeMT,
  title={Real-time multi-vehicle tracking based on feature detection and color probability model},
  author={Lili Huang and Matthew J. Barth},
  journal={2010 IEEE Intelligent Vehicles Symposium},
  year={2010},
  pages={981-986}
}
As traffic surveillance technology continues to grow worldwide, computer vision-based vehicle tracking is becoming increasing important. One of the key challenges with vehicle tracking is dealing with high density traffic, where occlusion often leads to foreground splitting and merging errors. In order to help solve this problem, global features such as color or local features like corners can be used for tracking. However, tracking based on global features or local features alone does not work… CONTINUE READING

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