Exception action detecting method based on athletic ground partial statistics characteristic analysis

Abstract

The invention relates to an anomaly detection method based on a motion field local statistical character analysis. The system mainly comprises the motion field analysis of video images, a local statistical character extraction and a statistical study and a mode identification technology based on samples. Firstly, the characteristics of objects in an image are extracted through a basic motion analyzing technology, the motion status is calculated, and a motion field is formed. On the basis, the statistical character extraction is implemented on the local motion information to obtain the local motion characteristics of the motion field. Finally, the space distribution relationship of the motion characteristics is expressed by global structured information. A method based on the statistical study is adopted for recognizing behavior styles. The algorithm implements the behavior recognition directly through the analysis based on the motion information to improve the efficiency and the robustness of the algorithm.

Description

technical field [0001] The invention relates to computer monitoring technology based on moving images, pattern recognition technology based on statistical learning and feature analysis technology based on local sports field. The invention is a visual monitoring content analysis method, which belongs to the fields of computer vision and intelligent information processing. Background technique [0002] As society pays more attention to public safety issues, real-time monitoring has been more and more widely used. The current monitoring problem is that it is difficult to process a large amount of monitoring information in a timely and effective manner. Using computer vision technology to analyze and understand people's movements, and provide records and alarms will help improve the level of security monitoring in public places. Using computers to assist in the recognition of human actions and events has become a hot issue in the field of computer vision. [0003] The intellig...

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Problems solved by technology

[0004] However, there are still some problems in these researches and applications: First, most of the current research is based on the detection and tracking information of the foreground area, and then analyzes whether the predetermined conditions are met, so that the problem is limited to the detection and tracking of objects, and seldom involves the detection and tracking of objects. The understanding of object movement and its laws has certain limitations in function

This process adds intermediate links, making the model more complex and difficult to implement accurately

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