Abnormal Human Behavior Recognition Based on Image Processing Technology

In recent years, digital image processing technology and computer vision technology have been continuously developed and made considerable progress. Based on the image information, through the detection, extraction and recognition operations, the human posture is understood, and abnormal behavior can be recognized in time. In this paper, related work in the abnormal human behavior analysis is first introduced, including many advanced practical projects. Then three methods of human target detection are listed, with the advantages and disadvantages being compared. The detection process is designed according to the inter-frame difference method. Finally, specific realization is proposed from three aspects: area identification, feature extraction, abnormality determination, and the algorithm steps are clearly summarized. Therefore, this study can provide technical support and decision-making guidance for safety management, with a wide range of applications.