Multiple feature fusion algorithm for human fall detection in intelligent monitor video

Abstract

Human fall detection is main abnormal event in intelligent power distribution network monitor scenario. Due to diverse body postures and human actions before human fall, it is difficult to detect human fall action effectively. To solve this problem, we studied five human fall-related features and proposed multiple feature fusion algorithm to detect human fall action in intelligent monitor video. Experiment results and field test both demonstrated its effectiveness of the proposed algorithm.