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http://dx.doi.org/10.5302/J.ICROS.2013.12.1830

A Study of Image Target Tracking Using ITS in an Occluding Environment  

Kim, Yong (Hanyang University)
Song, Taek-Lyul (Hanyang University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.19, no.4, 2013 , pp. 306-314 More about this Journal
Abstract
Automatic tracking in cluttered environment requires the initiation and maintenance of tracks, and track existence probability of true track is kept by Markov Chain Two model of target existence propagation. Unlike Markov Chain One model for target existence propagation, Markov Chain Two model is made up three hypotheses about target existence event which are that the target exist and is detectable, the target exists and is non-detectable through occlusion, and the target does not exist and is non-detectable according to non-existing target. In this paper we present multi-scan single target tracking algorithm based on the target existence, which call the Integrated Track Splitting algorithm with Markov Chain Two model in imaging sensor.
Keywords
target perceivability; target existence; Markov chain 1; Markov chain 2; ITS (Integrated Track Splitting);
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