The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System

@inproceedings{Ghadami2011TheEO,
  title={The Evaluation of the Gaussian Mixture Probability Hypothesis Density Filter Applied in a Stereo Vision System},
  author={Soheil Ghadami},
  year={2011}
}
In this thesis, the performance of the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter using a pair of stereo vision system to overcome label discontinuity and robust tracking in an Intelligent Vision Agent System (IVAS) is evaluated. This filter is widely used in multiple-target tracking applications such as surveillance, human tracking, radar, and etc. A pair of cameras is used to get the left and right image sequences in order to extract 3-D coordinates of targets' positions… CONTINUE READING