Machine Recognition of Human Activities: A Survey

The past decade has witnessed a rapid proliferation of video cameras in all walks of life and has resulted in a tremendous explosion of video content. Several applications such as content-based video annotation and retrieval, highlight extraction and video summarization require recognition of the activities occurring in the video. The analysis of human activities in videos is an area with increasingly important consequences from security and surveillance to entertainment and personal archiving. Several challenges at various levels of processing robustness against errors in low-level processing, view and rateinvariant representations at mid-level processing and semantic representation of human activities at higher-level processing

• Type: Journal
• Year: 2008
• Where: TCSV
• Authors: Pavan K. Turaga, Rama Chellappa, V. S. Subrahmanian, Octavian Udrea
• Keywords: Content-based Video Annotation, Human Activities, TCSV 2008, Video