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Human motion recognition method based on local features

A technology of human action recognition and local features, applied in the field of computer vision, can solve the problem of low accuracy of human action recognition, and achieve the effect of improving the accuracy.

Inactive Publication Date: 2014-02-26
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

However, in the process of constructing action features, the spatial position information of spatio-temporal interest points and the spatial position relationship between points are almost completely discarded, resulting in low recognition accuracy of human action, so it is necessary to add Local Feature Recognition Method to Improve the Accuracy of Action Recognition

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  • Human motion recognition method based on local features
  • Human motion recognition method based on local features
  • Human motion recognition method based on local features

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Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] In order to improve the accuracy of human action recognition, an embodiment of the present invention provides a human action recognition method based on local features. This method is based on the spatio-temporal interest point extraction method proposed by Laptev [4] A human action recognition method based on local features is proposed on the basis of adding spatial location information of spatiotemporal interest points, see the following description for details:

[0036] 101: Human body detection and area division;

[0037] see figure 1 , the test database used in this method is the TJU (Tianjin University) database, recorded by the Digital Multimedia Laboratory of Tianjin University. The TJU database includes 22 actions (1:...

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Abstract

The invention discloses a human motion recognition method based on local features. The human motion recognition method includes the first step of carrying out human body detection and regional division, the second step of extracting the features of space-time interest points and corresponding position information from a motion video sequence, the third step of carrying out spatial classification on the space-time interest points according to regional division results, the fourth step of respectively obtaining the space-time interest points included in each specific human body area in a training set and the space-time interest points included in each specific human body area in a test set, the fifth step of clustering the space-time interest points included in each specific human body area in the training set through a clustering algorithm to obtain a corresponding lexicon, the sixth step of independently processing each specific human body area in the training set and each specific human body area in the test set respectively through a word bag model and respectively extracting word bag features of the specific human body areas in the training set and the test set, and the seventh step of using a classifier to carry out modeling on human motion to achieve the purpose of motion recognition. According to the human motion recognition method, the outstanding human body local features are utilized to improve accuracy rate of human motion recognition.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a human body action recognition method based on local features. Background technique [0002] Human action recognition is an important field in computer vision research, and it is a very attractive and challenging problem in computer vision. Visual analysis of human motion is a cutting-edge research field, involving many disciplines such as pattern recognition, image processing, computer vision, and artificial intelligence. It can be widely used in many fields, such as: motion capture, human-computer interaction, monitoring and security, environmental control and monitoring, sports and entertainment analysis, etc., especially in video monitoring, it can be widely used in banking, post and telecommunications, education, transportation, Public security, prisons, courts, large public facilities, public places (banks, hospitals, etc.), large warehouses and military bases play an incre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 刘安安苏育挺贾萍萍
Owner TIANJIN UNIV
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