A Markov model for initiating tracks with the probabilistic multi-hypothesis tracker

S. Davey, D. Gray, S. Colegrove
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引用次数: 10

Abstract

An important problem in multi-target tracking is track initiation and termination. The tracking algorithm aims to discriminate false detections caused by various sources of interference from valid detections caused by targets of interest. This is a problem of model order estimation. One approach to solving this problem with the Probabilistic Data Association Filter has been referred to as target visibility. This paper shows how the target visibility model can be incorporated into the Probabilistic Multi-Hypothesis Tracker to provide integrated initiation and termination.
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用概率多假设跟踪器初始化轨迹的马尔可夫模型
多目标跟踪中的一个重要问题是航迹的起始和终止。跟踪算法旨在区分由各种干扰源引起的错误检测和由感兴趣的目标引起的有效检测。这是一个模型阶估计问题。使用概率数据关联过滤器解决此问题的一种方法被称为目标可见性。本文展示了如何将目标可见性模型整合到概率多假设跟踪器中,以提供集成的起始和终止。
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