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http://dx.doi.org/10.13067/JKIECS.2014.9.2.143

Improvement of Tracking Performance of Particle Filter in Low Frame Rate Video  

Song, Jong-Kwan (경성대학교 전자공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.9, no.2, 2014 , pp. 143-148 More about this Journal
Abstract
Particle filter algorithm has been proven very successful for non-linear and non-Gaussian estimation problem and thus it has been widely used for object tracking for video signals. If the object moves significantly, particle filter needs very large number of particles to track object and this results high computational cost. In this paper, modified particle filter by adopting motion vector is proposed for tracking vehicle in low frame rate(LPR) video input, which the object moving significantly and randomly between consecutive frames. In the proposed algorithm, motion vector is applied in selection and observe step. The experimental result shows that the proposed particle filter can track vehicle successfully in the case when previous one fails. And it also shows the propose method increases the precision of tracking.
Keywords
Object Tracking; Vehicle Tracking; Particle Filter; Intelligent Video System;
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Times Cited By KSCI : 1  (Citation Analysis)
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