Action recognition using instance-specific and class-consistent cues

Chin An Lin*, Yen-Yu Lin, Hong Yuan Mark Liao, Shyh Kang Jeng

*此作品的通信作者

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

We aim to resolve the difficulties of action recognition arising from the large intra-class variations. These unfavorable variations make it infeasible to represent one action instance by other ones of the same action. We hence propose to extract both instance-specific and class-consistent features to facilitate action recognition. Specifically, the instance-specific features explore the self-similarities among frames of each video instance, while class-consistent features summarize within-class similarities. We introduce a generative formulation to combine the two diverse types of features. The experimental results demonstrate the effectiveness of our approach.

原文English
主出版物標題2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
頁面1373-1376
頁數4
DOIs
出版狀態Published - 1 十二月 2012
事件2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
持續時間: 30 九月 20123 十月 2012

出版系列

名字Proceedings - International Conference on Image Processing, ICIP
ISSN(列印)1522-4880

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
國家/地區United States
城市Lake Buena Vista, FL
期間30/09/123/10/12

引用此