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In this paper, we proposed a method to fuse data from radar and IR sensor in Extend Kalman probability hypothesis density (EK-GMPHD) filter. Firstly the multi-target is estimated with infrared (IR) sensor using EK-GMPHD filter, and then the filtering results are fused with measurements from radar through sequential filter, in this way, the multi-target state is updated at the tracking system. Under...
Multi-target tracking is an important component of a surveillance, guidance, and obstacle avoidance system. The probability hypothesis density (PHD) filter is an attractive approach to tracking an unknown, and time varying number of targets in the presence of data association uncertainty, clutter, noise, and miss-detection. But there is no closed-form solution to the PHD recursion. Another approach...
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