Applying mean shift, motion information and Kalman filtering approaches to object tracking.

@article{Mazinan2012ApplyingMS,
  title={Applying mean shift, motion information and Kalman filtering approaches to object tracking.},
  author={Amir Hooshang Mazinan and A. Amir-Latifi},
  journal={ISA transactions},
  year={2012},
  volume={51 3},
  pages={485-97}
}
Contemporary research is developing techniques to tracking objects in videos using color features, and the mean shift (MS) algorithm is one of the best. This known algorithm is employed to find the location of an object, in image sequence, by using a coefficient called the Bhattacharyya coefficient. This coefficient is calculated through an object tracking algorithm to present the similarity in appearance between an object and its candidate model, where the best representation of an object is… CONTINUE READING
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