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EXAMPLE-BASED LEARNING FOR SILHOUETTE-BASED PEDESTRIAN DETECTION
Su, Song-Zhi ; Li, Shao-Zi ; Su SZ(苏松志) ; Li SZ(李绍滋)
2010
关键词OBJECT DETECTION
英文摘要Conference Name:4th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2009). Conference Address: Hasselt, BELGIUM. Time:NOV 27-28, 2009.; Pedestrian detection is here formulated as a binary classification problem, by recognizing human body patterns from examples Aiming at the moving objects classification in intelligent video surveillance system where camera is often stationary, we first extract their silhouette by background subtraction, and use a novel feature based on silhouette to represent pedestrian, then model pedestrian patterns by Gaussian Mixture Models Experimental result shows that our proposed method is efficient
语种英语
出处http://dx.doi.org/10.1142/9789814295062_0072
出版者WD SCI P COMP ENG
内容类型其他
源URL[http://dspace.xmu.edu.cn/handle/2288/86447]  
专题信息技术-会议论文
推荐引用方式
GB/T 7714
Su, Song-Zhi,Li, Shao-Zi,Su SZ,et al. EXAMPLE-BASED LEARNING FOR SILHOUETTE-BASED PEDESTRIAN DETECTION. 2010-01-01.
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