2005 IEEE International Conference on Multimedia and Expo (2005)
July 6, 2005 to July 6, 2005
null Feng Niu , Department of Electrical and Computer Engineering, University of Miami 1251 Memorial Dr., Coral Gables, FL 33146, email@example.com
Recognizing human activities from image sequences is an active area of research in computer vision. Most of the previous work on activity recognition focuses on recognition from video clips that show only single activities. There are few published algorithms for segmenting and recognizing complex activities that are composed of more than one single activity. In this paper, we present a novel HMM-based approach that uses threshold and voting to automatically and effectively segment and recognize complex activities. Experiments on a database of video clips of different activities show that our method is effective.
n. Feng Niu and M. Abdel-Mottaleb, "HMM-Based Segmentation and Recognition of Human Activities from Video Sequences," 2005 IEEE International Conference on Multimedia and Expo(ICME), Amsterdam, Netherlands, 2005, pp. 804-807.