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Tianjin, China
Aug. 11, 2009 to Aug. 14, 2009
ISBN: 978-0-7695-3789-4
pp: 311-316
Video processing for surveillance and security applications has become a research hotspot in the last decade. This paper reports a research into volume-based segmentation techniques for video event detection. It starts with an introduction of the structure in 3D video volumes denoted by spatio-temporal features extracted from video footages. The focus of the work is on devising an effective and efficient 3D segmentation technique suitable to the volumetric nature of video events through deploying innovative 3D clustering methods. It is supported by the design and experiment on the 3D data compression techniques for accelerating the pre-processing of the original video data. An evaluation on the performance of the developed methods is presented at the end.
video processing, feature extraction, segmentation, spatio-temporal volume
Jing Wang, Zhijie Xu, Qian Xu, "Video Volume Segmentation for Event Detection", CGIV, 2009, 2013 10th International Conference Computer Graphics, Imaging and Visualization, 2013 10th International Conference Computer Graphics, Imaging and Visualization 2009, pp. 311-316, doi:10.1109/CGIV.2009.36
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