Mining Algorithm Based on MotionImage Characteristics of Human Movement Behavior
Liang Jun-qin · Jisuanji fangzhen · 2013
The main research is to identify the characteristics of human action image,and a large number of disguise action features which is irrelevant to the real behavior present in human motion picture,the existence of disguise action would significantly interfere with the characteristics of real human behavior,resulting in weakening the association of the behavioral real characteristics,and forming interference. In order to avoid these defects,a mining algorithm based on motion features of human body operation behavior was put forward. The golden section method was utilized to calculate the weight proportion of motion characteristics,so as to delete the redundant features,and provide accurate data basis for human motion behavior mining. A nonlinear classification function was employed to classify the human behavior characteristics,so as to realize the mining of human movement behavior. The experimental results show that the algorithm presented in this paper can effectively improve the accuracy of human movement behavior mining,thus effectively identify human movement behavior.