Study on Abnormal Behavior in Elevator Based on Computer Vision
Guang Shu, Gaojing Fu, Peng Li, Haiyu Geng · Advanced science and technology letters · 2014
As the violent issues occurred in the elevator are increasing, this paper discussed a detection algorithm of abnormal behavior. The characteristic differences were analyzed between normal behavior and violent behavior through the video image sequences captured in the elevator. The movement characteristics and kinetic energy of corner were composed a five dimensional feature vector as the identification basis of SVM to implement the violence detection. Comparing with the traditional threshold method and optical flow method, the algorithm was of low computation and higher recognition rate.