期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2009
卷号：2
期号：1
出版社：SERSC
摘要：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 thenthe frequently-occurring human activities can be extracted from them.We show the experimental results applied to the data taken in a deskwork environmentto demonstrate the performance of the proposed framework.The experimental results were as follows: 86.0% averaged recall rate and 78.3% averaged precision ratewere obtained in extracting human activities
