The invention provides a multi-person abnormal behavior detection method based on
security monitoring video data. According to the method, a standard AV output
signal of a monitoring camera is acquired;
pedestrian characteristics are extracted, and coarse detectors, coarse
pedestrian ROIs and precise ROIs are respectively acquired;
pedestrian behavior tracking is carried out, a particle filtering method is employed to respectively surround each tracking target of a video into a rectangular frame, a multi-order autoregression process
mathematics model is established for state transferring of each tracking target, and a state transferring model for describing actual motion situations of motion targets is acquired; under the particle filtering framework, a particle filtering
human body tracking method integrated with color and shape characteristics is acquired; abnormal-pedestrian classification is carried out, and
optical flow characteristics of the precise ROIs are calculated; each frame of gray-scale image in the monitoring video flow is set to be a Markov random field ; characteristics of pedestrians determined to have abnormal traffic behaviors in
video monitoring scenes are extracted, a continuous
hidden Markov model is established, and the abnormal behaviors are identified.