CASIA OpenIR  > 09年以前成果
Real-Time Moving Object Classification with Automatic Scene Division
Zhaoxiang Zhang; Yinghao Cai; Kaiqi Huang; Tieniu Tan
2007-09-16
会议名称IEEE International Conference on Image Processing
会议录名称16 Sep - 19 Sep 2007
会议日期16-19 September 2007
会议地点San Antonio, Texas, USA
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.
关键词Surveillance Pattern Classification Object recognition Motion Detection Video Signal Processing
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/10989
专题09年以前成果
通讯作者Zhaoxiang Zhang
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],2007.
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