A confidence measure based moving object extraction system built for compressed domain

As the proliferation of compressed video sequences in MPEG formats continues, the ability to perform video analysis directly in the compressed domain becomes increasingly attractive. The availability of motion vectors and pixel values in coded forms can indirectly provide motion and intensity inform...

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Bibliographic Details
Main Authors: Wang, R., Hong-Jiang Zhang, Ya-Qin Zhang
Format: Conference Proceeding
Language:English
Subjects:
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Data mining
Information analysis
Motion analysis
Motion estimation
Performance analysis
Pollution measurement
Transform coding
Video compression
Video sequences
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Summary:As the proliferation of compressed video sequences in MPEG formats continues, the ability to perform video analysis directly in the compressed domain becomes increasingly attractive. The availability of motion vectors and pixel values in coded forms can indirectly provide motion and intensity information for object analysis, avoiding the need to re-perform motion estimation. Albeit that the embedded motion field is contaminated with matching modeling errors and measurement errors, we will illustrate several motion field filtering and correction techniques to combat with noisy motion fields. We strive to reconstruct smooth true motion fields with a minimal amount of decoding, reducing computational resource and time requirement. In this paper, we describe the whole moving object extraction system with the general framework and component designs and show their effectiveness with two test sequences.
DOI:10.1109/ISCAS.2000.857353