Human body posture identification method based on multi-characteristic fusion of key frame

Abstract

The invention provides a human body posture identification method based on multi-characteristic fusion of a key frame, comprising the following steps of: (1) extracting Hu invariant moment characteristics from a video image; calculating a covering rate of an image sequence; extracting the highest covering percentage of the covering rate as a candidate key frame; then calculating a distortion rate of the candidate key frame and extracting the minimum distortion percentage as the key frame; (2) carrying out extraction of a foreground image on the key frame to obtain the foreground image of a moving human body; (3) extracting characteristic information of the key frame, wherein the characteristic information comprises a six-planet model, a six-planet angle and eccentricity; obtaining a multi-characteristic fused image characteristic vector; and (4) utilizing a one-to-one trained classification model, wherein the classification model is a posture classifier based on an SVM (Secure Virtual Machine); and identifying a posture. The human body posture identification method has the advantages of simplified calculation, good stability and good robustness.

Description

technical field [0001] The invention relates to a human body posture recognition method. Background technique [0002] In recent years, with the acceleration of urbanization in China and other emerging economies, the increase in population mobility and a series of urban management problems caused by urbanization, such as traffic and public security, video surveillance has become more and more popular. The demand for intelligence is also getting higher and higher. People hope to extract more information from video through intelligent analysis and apply it to various application fields in people's life and work, such as security monitoring, smart home, human-computer interaction, and auxiliary training for athletes. In the security industry, such as banks, railway tracks, warehouses and other places, it is necessary to automatically realize the detection and tracking of moving objects and abnormal alarm conditions, so as to reduce various losses; in the home security system ...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the disadvantages of complex algorithm, poor stability and poor robustness of the existing human body posture recognition method, the present invention provides a simplified calculation, good stability and robustness. Human Pose Recognition Method Based on Multi-feature Fusion with Good Stickiness

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