Author(s)

Liang Mengfan, Wang Xingjuan

Corresponding Author

Liang Mengfan

ABSTRACT

Video surveillance, as a widely used security monitoring technology, has been given great significance since the beginning of its development. In order to make correct abnormal judgment, it is necessary to track the moving target accurately. Intelligent surveillance technology is an important application field of computer vision, which has great research and application value in military and civilian applications. In the anomaly detection model based on clustering and classification, anomaly detection is considered as a pattern recognition problem. In the judgment of abnormal targets of public monitoring, human behavior has great contingency, and various environments are also very different. Pedestrian and abnormal behavior detection techniques face many challenges and opportunities in the fields of computer vision and pattern recognition. This paper is based on the generation of confrontation networks, with intelligent surveillance video analysis as the main research content, and targets human abnormal behavior detection. The research status and development of intelligent video surveillance system are elaborated.

KEYWORDS

Video surveillance, Abnormal behavior, Countermeasure network