Novel tracking-based moving object extraction algorithm

Jianping Fan; Essam A. El-Kwae; Mohand-Said Hacid; Feng Liang

doi:10.1117/1.1482095

1 July 2002 Novel tracking-based moving object extraction algorithm

Jianping Fan, Essam A. El-Kwae, Mohand-Said Hacid, Feng Liang

Journal of Electronic Imaging, Vol. 11, Issue 3, (July 2002). https://doi.org/10.1117/1.1482095

Moving object extraction plays a fundamental role in computer vision, pattern recognition, object-based video coding and indexing. However, the low-level visual homogeneity criteria (like color, texture, intensity, motion, and so on) for segmentation do not lead to regions that immediately correspond to meaningful objects from the human point of view, because a semantic video object can contain totally different gray levels, colors, textures, or even motion. In this paper, a novel moving object extraction algorithm is proposed by collaborative integration of the results of a semantic object generation algorithm and a temporal tracking technique. First, the semantic objects are generated by a seeded region aggregation procedure according to some perceptual visual models or by a human– computer interaction procedure. Second, the correspondence of these extracted semantic objects along the time axis is further exploited through a temporal tracking procedure.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Jianping Fan, Essam A. El-Kwae, Mohand-Said Hacid, and Feng Liang "Novel tracking-based moving object extraction algorithm," Journal of Electronic Imaging 11(3), (1 July 2002). https://doi.org/10.1117/1.1482095

Published: 1 July 2002

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