Randomized Multiple Model Multiple Hypothesis Tracking
Published in arXiv (Cornell University) • May 4, 2021
Authors:,,
Haiqi Liu
Xiaojing Shen
Zhiguo Wang
Abstract
This paper considers the data association problem for multi-target tracking. Multiple hypothesis tracking is a popular algorithm for solving this problem but it is NP-hard and is is quite complicated for a large number of targets or for tracking maneuvering targets. To improve tracking performance a...
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