Human motion detection based on multi-feature fusion
Bin Huang · Journal of Shandong University · 2009
A novel method was proposed to detect human daily activities and fall behavior based on features fusion. Actions were described by a set of postures and features of postures change velocity and position changes,then simple postures events and features were combined to express complex human activities events. This method can robustly detect human actions,thus can be used for intelligence interactive and service robot autonomous server system.