Graphics display
2016-08-23
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A multi object tracking method based on PHD filtering and data association is proposed.. The target number and target state estimation of the clutter are eliminated by PHD filtering.. The result of PHD filtering is redefined as the measurement data, and the false alarm and the leakage alarm are eliminated and the target tracks are given.. The simulation results show that the algorithm can effectively improve the tracking accuracy of multi-target tracking and provide the target track information simultaneously..
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