A Robust Method for Multiple Face Tracking Using Kalman Filter

@article{Shaik2007ARM,
  title={A Robust Method for Multiple Face Tracking Using Kalman Filter},
  author={Zaheer Shaik and Vijayan K. Asari},
  journal={36th Applied Imagery Pattern Recognition Workshop (aipr 2007)},
  year={2007},
  pages={125-130}
}
A robust method for tracking faces of multiple people moving in a scene using Kalman filter is proposed in this paper. To distinguish faces of people during partial occlusion the proposed method uses the non-parametric cloth distribution. To overcome the problem of total occlusion, faces are tracked using the values generated by Kalman prediction algorithm. The size, top-left coordinate and velocity of motion of the detected face being the parameters of the Kalman vector; the predicted values… CONTINUE READING
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