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

A technology of visual word and feature fusion, applied in the field of human behavior recognition, can solve the problems of background interference and low accuracy of classification models.

Active Publication Date: 2015-05-13
SUZHOU UNIV
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  • Abstract
  • Description
  • Claims
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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,

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

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Embodiment

[0086] Embodiment: The algorithm of the present invention has carried out experiments on the behavior of characters in various scenes. Hardware environment: Intel(R) Core(TM) i52.50GHz, 4G memory, 512M AMD graphics card; software environment: Windows7.0 operating system, Matlab2010a. The whole experiment conducted a classification test on two behavioral data sets, namely the KTH data set and 6 representative action sets taken from the UCF data set. The KTH data set includes boxing (boxing), handclapping (clapping), handwaving (waving), jogging (jogging), running (fast running) and walking (walking), which are completed by 25 characters in 4 scenarios, each 100 videos for each action, a total of 600 videos. The six actions selected from the UCF dataset are: diving (diving), horse riding (horse riding), lifting (weightlifting), swing bench (pommel horse), swing sideangle (uneven bars) and tennis (tennis). In the whole experiment, the present invention first uses GBVS to calcul...

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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...

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Application Information

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IPC IPC(8): G06T7/20
CPCG06V40/20
Inventor 龚声蓉谢飞刘纯平王朝晖季怡
Owner SUZHOU UNIV
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