Paper
15 November 2007 The abnormal behavior analysis of single person on the road based on region and behavior features
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862N (2007) https://doi.org/10.1117/12.751724
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In this paper, a method to detect whether the behavior of a single person in video sequence is abnormal is proposed. Firstly, after the pre-processing, the background model is gotten based on the Mixture Gaussian Model(GMM), at the same time the shadow is eliminated; then use the color-shape information and the Random Hough Transform (RHT) to abstract the zebra crossing and segment the background; Lastly, we use the rectangle and the centroid to judge whether the person's behavior is abnormal.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Wang, Runsheng Wang, and Yiwen Chen "The abnormal behavior analysis of single person on the road based on region and behavior features", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862N (15 November 2007); https://doi.org/10.1117/12.751724
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Roads

Image segmentation

RGB color model

Video surveillance

Data modeling

Hough transforms

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