Tracking Multiple Video Targets with an Improved GM-PHD Tracker

@inproceedings{Zhou2015TrackingMV,
  title={Tracking Multiple Video Targets with an Improved GM-PHD Tracker},
  author={Xiaolong Zhou and Huiye Qiu and Honghai Liu and Youfu Li},
  booktitle={Sensors},
  year={2015}
}
Tracking multiple moving targets from a video plays an important role in many vision-based robotic applications. In this paper, we propose an improved Gaussian mixture probability hypothesis density (GM-PHD) tracker with weight penalization to effectively and accurately track multiple moving targets from a video. First, an entropy-based birth intensity estimation method is incorporated to eliminate the false positives caused by noisy video data. Then, a weight-penalized method with multi… CONTINUE READING
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