Convergence of the SMC implementation of the PHD filte
The probability hypothesis density (PHD) filter is a first moment approximation to the evolution of a dynamic point process which can be used to approximate the optimal filtering equations of the multiple-object tracking problem. We show that, under reasonable assumptions, a sequential Monte Carlo (...
| Main Authors: | , , , |
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| 格式: | Journal article |
| 語言: | English |
| 出版: |
2006
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