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http://dx.doi.org/10.5391/IJFIS.2015.15.1.27

Unusual Motion Detection for Vision-Based Driver Assistance  

Fu, Li-Hua (College of Computer Science, Beijing University of Technology)
Wu, Wei-Dong (College of Computer Science, Beijing University of Technology)
Zhang, Yu (College of Computer Science, Beijing University of Technology)
Klette, Reinhard (School of Engineering, Auckland University of Technology)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.15, no.1, 2015 , pp. 27-34 More about this Journal
Abstract
For a vision-based driver assistance system, unusual motion detection is one of the important means of preventing accidents. In this paper, we propose a real-time unusual-motion-detection model, which contains two stages: salient region detection and unusual motion detection. In the salient-region-detection stage, we present an improved temporal attention model. In the unusual-motion-detection stage, three kinds of factors, the speed, the motion direction, and the distance, are extracted for detecting unusual motion. A series of experimental results demonstrates the proposed method and shows the feasibility of the proposed model.
Keywords
Vision-based driver assistance; Salient regions; Unusual motion; Video analysis;
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