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
Conference NameIEEE International Conference on Image Processing
Source Publication16 Sep - 19 Sep 2007
Conference Date16-19 September 2007
Conference PlaceSan Antonio, Texas, USA
AbstractWe 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.
KeywordSurveillance Pattern Classification Object recognition Motion Detection Video Signal Processing
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10989
Collection09年以前成果
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Zhaoxiang Zhang,Yinghao Cai,Kaiqi Huang,et al. Real-Time Moving Object Classification with Automatic Scene Division[C],2007.
Files in This Item: Download All
File Name/Size DocType Version Access License
Real-time Moving Obj(1223KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhaoxiang Zhang]'s Articles
[Yinghao Cai]'s Articles
[Kaiqi Huang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhaoxiang Zhang]'s Articles
[Yinghao Cai]'s Articles
[Kaiqi Huang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhaoxiang Zhang]'s Articles
[Yinghao Cai]'s Articles
[Kaiqi Huang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Real-time Moving Object Classification with Automatic Scene Division.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.