Paper
4 February 2009 Real-time detection and tracking of multiple objects with partial decoding in H.264/AVC bitstream domain
Author Affiliations +
Proceedings Volume 7244, Real-Time Image and Video Processing 2009; 72440D (2009) https://doi.org/10.1117/12.805596
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
In this paper, we show that we can apply probabilistic spatiotemporal macroblock filtering (PSMF) and partial decoding processes to effectively detect and track multiple objects in real time in H.264|AVC bitstreams with stationary background. Our contribution is that our method cannot only show fast processing time but also handle multiple moving objects that are articulated, changing in size or internally have monotonous color, even though they contain a chaotic set of non-homogeneous motion vectors inside. In addition, our partial decoding process for H.264|AVC bitstreams enables to improve the accuracy of object trajectories and overcome long occlusion by using extracted color information.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wonsang You, M. S. Houari Sabirin, and Munchurl Kim "Real-time detection and tracking of multiple objects with partial decoding in H.264/AVC bitstream domain", Proc. SPIE 7244, Real-Time Image and Video Processing 2009, 72440D (4 February 2009); https://doi.org/10.1117/12.805596
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CITATIONS
Cited by 26 scholarly publications and 1 patent.
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KEYWORDS
Image segmentation

Detection and tracking algorithms

Spatial filters

Expectation maximization algorithms

Video

Cameras

Information technology

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