Abnormal Behavior Detection Research Based on Reference Amount of Video Surveillance
Jie Ling · Computer Technology and Development · 2012
In order to solve the traditional algorithm is difficult to detect a human moving target in the case of dynamic scenes,this paper proposes a new human motion abnormal behavior detection method.The method combines the use of video monitoring each of the reference amount,analyzes the video sequence into the behavior,for the purpose of the abnormal behavior to detect discrepancies,specifically related to : human moving target detection,tracking and extraction,abnormal behavior detection.It elaborated the concept of abnormal behavior detection,and introduced the method of calculating the various parameters referenced to the amount of video surveillance.The algorithm combines the advantages of detection and classification of abnormal behavior and the similarity,and made reference to the amount of video-based surveillance of aberrant behavior detection algorithm,which is calculated is given,and to determine the detection process,analysising of the characteristics and advantages of this method.