CASIA OpenIR  > 类脑智能研究中心
Multi-view Moving Objects Classification via Transfer Learning
Jianyun Liu; Yunhong Wang; Zhaoxiang Zhang; Yi Mo
2011-11-28
Conference Name1st Asian Conference on Pattern Recognition
Source PublicationACPR 2011
Conference Date28th November 2011
Conference PlaceBeijing, China
AbstractMoving objects classification in traffic scene videos is a hot topic in recent years. It has significant meaning to intelligent traffic system by classifying moving traffic objects into pedestrians, motor vehicles, non-motor vehicles etc.. Traditional machine learning approaches make the assumption that source scene objects and target scene objects share same distributions, which does not hold for most occasions. Under this circumstance, large amount of manual labeling for target scene data is needed, which is time and labor consuming. In this paper, we introduce TrAdaBoost, a transfer learning algorithm, to bridge the gap between source and target scene. During training procedure, TrAdaBoost makes full use of the source scene data that is most similar to the target scene data so that only small number of labeled target scene data could help improve the performance significantly. The features used for classification are Histogram of Oriented Gradient features of the appearance based instances. The experiment results show the outstanding performance of the transfer learning method comparing with traditional machine learning algorithm.
KeywordFeature Extraction Training Image Edge Detection Training Data Accuracy Videos Support Vector Machines
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13275
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Jianyun Liu,Yunhong Wang,Zhaoxiang Zhang,et al. Multi-view Moving Objects Classification via Transfer Learning[C],2011.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jianyun Liu]'s Articles
[Yunhong Wang]'s Articles
[Zhaoxiang Zhang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jianyun Liu]'s Articles
[Yunhong Wang]'s Articles
[Zhaoxiang Zhang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jianyun Liu]'s Articles
[Yunhong Wang]'s Articles
[Zhaoxiang Zhang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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