中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Real-Time Moving Object Classification with Automatic Scene Division

文献类型:会议论文

作者Zhaoxiang Zhang; Yinghao Cai; Kaiqi Huang; Tieniu Tan
出版日期2007-09-16
会议名称IEEE International Conference on Image Processing
会议日期16-19 September 2007
会议地点San Antonio, Texas, USA
关键词Surveillance Pattern classification Object recognition Motion detection Video signal processing
通讯作者Zhaoxiang Zhang
英文摘要We address the problem of moving object classification. Our aim is to classify moving objects of traffic scene videos into pedestrians, bicycles and vehicles. Instead of supervised learning and manual labeling of large training samples, our classifiers are initialized and refined online automatically. With efficient features extracted and organized, the approach can be real-time and achieve high classification accuracy. Once the view or scene changes detected, the algorithm can automatically refine the classifiers and adapt them to new environments. Experimental results demonstrate the effectiveness and robustness of the proposed approach.
会议录16 Sep - 19 Sep 2007
源URL[http://ir.ia.ac.cn/handle/173211/10989]  
专题自动化研究所_09年以前成果
推荐引用方式
GB/T 7714
Zhaoxiang Zhang,Yinghao Cai,Kaiqi Huang,et al. Real-Time Moving Object Classification with Automatic Scene Division[C]. 见:IEEE International Conference on Image Processing. San Antonio, Texas, USA. 16-19 September 2007.

入库方式: OAI收割

来源:自动化研究所

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