The invention discloses an adaptive
action recognition method based on multi-view and multi-mode characteristics. The adaptive
action recognition method specifically comprises the steps of: preprocessing videos; carrying out multi-view description on a target movement variation change; extracting equal-hierarchical
pyramid characteristics; constructing a multi-view depth and RGB (Red Green Blue) model; selecting a multi-
view model, deducing and integrating multi-mode characteristic results. According to the adaptive
action recognition method, firstly, aiming at the difficulties of illumination variation, shadow and the like usually occurring in a process of recognizing visible image actions, action recognition is carried out on the basis of multi-view and multi-mode characteristics; then aiming at the limitation of the
single view, multi-view description in the target movement variation process is provided, and is capable of more completely capturing variation processes of a target in a depth and
RGB image sequence; then, the equal-hierarchical
pyramid characteristics also have a spatial resolving power and a detail description power, thereby having very good robustness and discrimination property; finally, multi-mode characteristics are adaptively integrated according to the variation change of ambient light, and the performance and the stability of the action recognition method are further improved.