Moving objects extraction method in H.264/advanced video coding bit stream of a complex scene

Chen Mingsheng; Qin Mingxin; Liang GuangmingSun JixiangNing Xu

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Moving objects extraction method in H.264/advanced video coding bit stream of a complex scene

机译：Moving objects extraction method in H.264/advanced video coding bit stream of a complex scene

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摘要

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.

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来源
《Optical Engineering》 |2013年第8期|083107-1-083107-9|共9页
作者
Chen Mingsheng; Qin Mingxin; Liang GuangmingSun JixiangNing Xu;
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作者单位

Medical Imaging of Third Military Medical University, College of Biomedical Engineering, Chongqing, China;

National University of Defense Technology, Electronical Science and Engineering College, Changsha, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;
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Moving objects extraction method in H.264/advanced video coding bit stream of a complex scene

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