Multiple person re-identification using part based spatio-temporal color appearance model

@article{Gala2011MultiplePR,
  title={Multiple person re-identification using part based spatio-temporal color appearance model},
  author={Apurva Gala and Shishir K. Shah},
  journal={2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
  year={2011},
  pages={1721-1728}
}
In this paper, we address the problem of multiple person re-identification in the absence of calibration data or prior knowledge about the geospatial location of cameras. Multiple person re-identification is a open set matching problem with a dynamically evolving gallery and probe set. We present a part-based spatio-temporal model that learns a person's characteristic appearance as well as it's variations over time. The model is based on 2 distinct color features that capture the distribution… CONTINUE READING
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