Recognizing activities in multiple views with fusion of frame judgments
作者：
Highlights：
• Data fusion based method for activity recognition using multiple views
• Straightforward architecture to incorporate new cameras or new features
• Performance generally increases when there are more cameras and features.
• Comparable performance with that produced by reconstruction
• Detailed experiments to answer different system considerations
摘要
•Data fusion based method for activity recognition using multiple views•Straightforward architecture to incorporate new cameras or new features•Performance generally increases when there are more cameras and features.•Comparable performance with that produced by reconstruction•Detailed experiments to answer different system considerations
论文关键词：Video analysis,Human activity recognition,Multiple views,Multiple camera
论文评审过程：Received 16 June 2013, Revised 12 December 2013, Accepted 28 January 2014, Available online 8 February 2014.
论文官网地址：https://doi.org/10.1016/j.imavis.2014.01.006
