MHT (multiple hypothesis tracking) is a kind of multiple scan cycle measurement based, data interconnection technology, theory is to solve the number According to the optimal method of association. This paper focuses on multiple hypothesis tracking algorithm in data clustering, hypothesis generation and hypothesis probability calculation, assuming that reduction and The pruning process. From the engineering point of view, using K 􀀁 best optimal hypothesis and N 􀀁 scan backtracking pruning algorithm to improve the efficiency

多假设跟踪算法研究及其应用.pdf

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