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Optical Engineering

Moving objects extraction method in H.264/advanced video coding bit stream of a complex scene
Author(s): Mingsheng Chen; Mingxin Qin; Guangming Liang; Jixiang Sun; Xu Ning
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Paper Abstract

For the purpose of extracting moving objects from H.264/advanced video coding (AVC) bit stream of a complex scene, an algorithm based on maximum a posteriori Markov random field (MRF) framework to extract moving objects directly from H.264 compressed video is proposed in this paper. It mainly involves encoding information of motion vectors (MVs) and block partition modes in H.264/AVC bit stream and utilizes temporal continuity and spatial consistency of moving object’s pieces. First, it retrieves MVs and block partition modes of identical 4×4 pixel blocks in P frames and establishes Gaussian mixture model (GMM) of the phase of MVs as a reference background, and then creates MRF model based on MVs, block partition modes, the GMM of the background, spatial, and temporal consistency. The moving objects are retrieved by solving the MRF model. The experimental results show that it can perform robustly in a complex environment and the precision and recall have been improved over the existing algorithm.

Paper Details

Date Published: 9 August 2013
PDF: 10 pages
Opt. Eng. 52(8) 083107 doi: 10.1117/1.OE.52.8.083107
Published in: Optical Engineering Volume 52, Issue 8
Show Author Affiliations
Mingsheng Chen, National Univ. of Defense Technology (China)
Mingxin Qin, Third Military Medical Univ. (China)
Guangming Liang, National Univ. of Defense Technology (China)
Jixiang Sun, National Univ. of Defense Technology (China)
Xu Ning, Third Military Medical Univ. (China)


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