원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.2 No.1
2009.01
pp.13-20
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we propose a framework for recognizing human activities in our daily life. Since a human activity is represented as a sequence of actions, the actions are recognized from videos and then the frequently-occurring human activities can be extracted from them. We show the experimental results applied to the data taken in a deskwork environment to demonstrate the performance of the proposed framework. The experimental results were as follows: 86.0% averaged recall rate and 78.3% averaged precision rate were obtained in extracting human activities.
목차
Abstract
1. Introduction
2. Activity representation
3. Approach
3.1. Human action categorizing method
3.2. Extraction of activities
4. Experimental results
4.1. Experimental conditions
4.2. Experimental results
5. Conclusion
6. References
1. Introduction
2. Activity representation
3. Approach
3.1. Human action categorizing method
3.2. Extraction of activities
4. Experimental results
4.1. Experimental conditions
4.2. Experimental results
5. Conclusion
6. References
저자정보
참고문헌
자료제공 : 네이버학술정보