Movement human abnormal behavior identification method based on template matching

Abstract

The invention relates to a movement human abnormal behavior identification method based on template matching, which mainly comprises the steps of: video image acquisition and behavior characteristic extraction. The movement human abnormal behavior identification method is a mode identification technology based on statistical learning of samples. The movement of a human is analyzed and comprehended by using a computer vision technology, the behavior identification is directly carried out based on geometric calculation of a movement region and recording and alarming are carried out; the Gaussian filtering denoising and the neighborhood denoising are combined for realizing the denoising, thereby improving the independent analysis property and the intelligent monitoring capacity of an intelligent monitoring system, achieving higher identification accuracy for abnormal behaviors, effectively removing the complex background and the noise of a vision acquired image, and improving the efficiency and the robustness of the detection algorithm. The invention has simple modeling, simple algorithm and accurate detection, can be widely applied to occasions of banks, museums and the like, and is also helpful to improve the safety monitoring level of public occasions.

Description

technical field [0001] The invention belongs to the fields of computer vision and intelligent information processing. It involves computer monitoring technology based on moving images and pattern recognition technology based on statistical learning. The invention mainly relates to an intelligent analysis method of video monitoring content, in particular to a template matching-based abnormal behavior recognition method of a moving human body. Background technique [0002] As society pays more attention to public safety issues, real-time monitoring has been more and more widely used. The main problem of the existing monitoring system is that it is difficult to process a large amount of monitoring information in a timely and effective manner. The recognition of human behavior and events through computer assistance has become a hot issue in the field of computer vision. [0003] The intelligent analysis technology of visual surveillance is a hot and difficult issue in the fiel...

AI Technical Summary

Problems solved by technology

[0006] However, there are still some problems in these researches and applications: the current research part of the visual understanding method adopts the mechanical human body model method, and restores the state of human joint motion by matching video images, and then understands the behavior of the human body. This process increases the intermediate link , making the model more complex and difficult to achieve accurately

[0007] Surveillance systems that are widely used today are mainly based on camera and recorded images. They are either manual monitoring or post-event playback and analysis. There is basically no intelligent monitoring. Even if some monitoring of the environment and still life has an alarm system, Only moving and not moving can be used as the criterion to distinguish whether it is normal or not. For the normal and abnormal judgment of dynamic or moving objects, most of them are in the stage of theoretical research and discussion, and no practical abnormal behavior identification method has been applied.

[0008] The project team of this invention has searched domestic and foreign patent documents and published journal papers, and has not found any reports or documents closely related to the present invention.

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