2012  •  

Cross-view Activity Recognition using Hankelets

Lead Presenter: Binlong Li

Human activity recognition is central to many practical applications ranging from visual surveillance to gaming interfacing. Most approaches addressing this problem are based on localized spatio-temporal features that can vary significantly when the viewpoint changes. As a result, their performances rapidly deteriorate as the difference between the viewpoints of the training and testing data increases. In this paper, we introduce a new type of feature, the