Robust Multi-Pedestrian Tracking in Thermal-Visible Surveillance Videos

@article{Leykin2006RobustMT,
  title={Robust Multi-Pedestrian Tracking in Thermal-Visible Surveillance Videos},
  author={Alex Leykin and Riad I. Hammoud},
  journal={2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)},
  year={2006},
  pages={136-136}
}
In this paper we introduce a system to track pedestrians using a combined input from RGB and thermal cameras. Two major contributions are presented here. First is the novel model of the scene background where each pixel is represented as a multi-modal distribution with the changing number of modalities for both color and thermal input. We demonstrate how to eliminate the influence of shadows with this type of fusion. Second, based on our background model we introduce a pedestrian tracker… CONTINUE READING

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