Multi-target tracking method based on FCM clustering

2021 International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR)（2021）

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摘要

In order to accurately estimate the target number of the probability hypothesis density (PHD) filter, this paper proposes a cardinality compensation method based on fuzzy C-means (FCM) clustering. In the actual application of PHD filter tracking, when the noise and clutter in the measurement are high, the tracking loss will occur. For this reason, the measurement cardinality is obtained through da...

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关键词

multi-target tracking,probability hypothesis density filter,data clustering,cardinality compensation

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