Robust Fragments-based Tracking using the Integral Histogram

@article{Adam2006RobustFT,
  title={Robust Fragments-based Tracking using the Integral Histogram},
  author={Amit Adam and Ehud Rivlin and Ilan Shimshoni},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
  year={2006},
  volume={1},
  pages={798-805}
}
We present a novel algorithm (which we call "Frag- Track") for tracking an object in a video sequence. The template object is represented by multiple image fragments or patches. The patches are arbitrary and are not based on an object model (in contrast with traditional use of modelbased parts e.g. limbs and torso in human tracking). Every patch votes on the possible positions and scales of the object in the current frame, by comparing its histogram with the corresponding image patch histogram… CONTINUE READING

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