1 January 2007 Moving object segmentation in the H.264 compressed domain
Zhi Liu, Zhao-Yang Zhang, Liquan Shen
Author Affiliations +
Abstract
An efficient approach is proposed for moving object segmentation in the H.264 compressed domain. The normalized motion vector field is derived from the H.264 compressed video and is exploited to segment the frame into motion-homogenous regions. The following region merging process is efficiently represented using a binary partition tree (BPT). Selective nodes are extracted from the traversal process of BPT to represent different moving objects. Experimental results demonstrate the good segmentation performance of our approach. In fact, the work presents a general BPT-based compressed-domain moving object segmentation approach, which can be easily adapted to other compressed domains including the Moving Picture Expert Group (MPEG) domain.
©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
Zhi Liu, Zhao-Yang Zhang, and Liquan Shen "Moving object segmentation in the H.264 compressed domain," Optical Engineering 46(1), 017003 (1 January 2007). https://doi.org/10.1117/1.2431374
Published: 1 January 2007
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CITATIONS
Cited by 20 scholarly publications and 3 patents.
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KEYWORDS
Image segmentation

Motion models

Video

Video compression

Expectation maximization algorithms

Motion measurement

Video surveillance

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