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http://dx.doi.org/10.5909/JBE.2018.23.3.409

Object Tracking on Bitstreams Using a Motion Vector-based Particle Filter  

Lee, Jongseok (Kwangwoon University)
Oh, Seoung-Jun (Kwangwoon University)
Publication Information
Journal of Broadcast Engineering / v.23, no.3, 2018 , pp. 409-420 More about this Journal
Abstract
In this paper, we propose a Motion Vector-based Particle Filter(MVPF) for object tracking on bitstreams and a object tracking system using the MVPF. The MVPF uses motion vectors to both the transition and the observation models of a general particle filter to improve the accuracy while maintaining the number of particles. In the proposed object tracking system, the state of the target object can be predicted using the histogram of motion vectors extracted from the bitstream. In terms of precision, F-measure and IOU(Intersection Of Union), the proposed method is about 30%, 17%, and 17% better on average, respectively, in MPEG test sequences and VOT2013 sequences. Furthermore, When the tracking results are displayed in box form for subjective performance evaluation, the proposed method can track moving objects more robust than the conventional methods in all test sequences.
Keywords
Object tracking; Particle filter; Likelihood; HEVC bitstream; Motion vector;
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