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Tracking multiple moving targets in a video is a challenge because of several factors, including noisy video data, varying number of targets, and mutual occlusion problems. The Gaussian mixture probability hypothesis density (GM-PHD) filter, which aims to recursively propagate the intensity associated with the multi-target posterior density, can overcome the difficulty caused by the data association...
Multi-target tracking in video is a challenge due to noisy video data, varying number of targets, and the data association problems. In this paper, a multi-target visual tracking system that incorporates object detection with the Gaussian mixture PHD filter is developed. The main contribution of this paper is to propose a new birth intensity online estimation method that based on the entropy distribution...
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