TRIC-track: Tracking by Regression with Incrementally Learned Cascades

@article{Wang2015TRICtrackTB,
  title={TRIC-track: Tracking by Regression with Incrementally Learned Cascades},
  author={Xiaomeng Wang and Michel F. Valstar and Brais Mart{\'i}nez and Muhammad Haris Khan and Tony P. Pridmore},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={4337-4345}
}
This paper proposes a novel approach to part-based tracking by replacing local matching of an appearance model by direct prediction of the displacement between local image patches and part locations. We propose to use cascaded regression with incremental learning to track generic objects without any prior knowledge of an object's structure or appearance. We exploit the spatial constraints between parts by implicitly learning the shape and deformation parameters of the object in an online… CONTINUE READING
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