Method for recognizing human behavior based on threshold matrix and characteristics-fused visual word

Abstract

The invention discloses a method for recognizing human behavior based on a threshold matrix and a characteristics-fused visual word. The method is characterized by comprising the steps of extracting the visual word by the salience calculation method, namely, performing the salience calculation for a training video frame to obtain the location of an area of a human, detecting interesting points at the inside and outside of the area through different thresholds, and then calculating the visual word based on the obtained interesting points; molding and analyzing the obtained visual word, and constructing an action model; extracting the visual word from a testing video frame by the same salience calculation method after the construction mode is constructed; classifying the obtained visual word as input through the constructed action model; returning the action classification result as a human behavior label in the testing video, so as to finish the recognizing of the human behavior. With the adoption of the method, the accuracy of recognizing human behavior under a complex scene can be effectively ensured.

Description

technical field [0001] The invention relates to a method for character behavior recognition, which can be used in multiple fields such as target tracking, character recognition, intelligent monitoring, and human-computer interaction. Background technique [0002] The research and application of behavior recognition has become a hot topic in the world today. The human-computer interaction system is a typical application of character behavior recognition. The human-computer interaction system uses the image sensor to read in the video, and then uses computer vision, image processing and pattern recognition algorithms for processing. The video recognizes the behavior of the characters in it and responds accordingly. In the entire interactive system, how to extract the key features of the character's behavior to represent the behavior has become a major problem. After the features are extracted, it is also necessary to select different models for modeling analysis and identific...

AI Technical Summary

Problems solved by technology

[0015] The purpose of the present invention is to solve the problems that the traditional interest point detection method and feature extraction method are easily disturbed by the background, and the accuracy of the classification model is not high. Through the proposed method, the problem of the accuracy of character behavior recognition in complex scenes can be effectively solved.

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