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Large space depth metric learning based gait recognition method

A technology of metric learning and gait recognition, applied in the field of pattern recognition, to achieve the effect of wide application prospects

Inactive Publication Date: 2018-09-14
YANCHENG TEACHERS UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

[0004] Purpose of the invention: the purpose of the present invention is to provide a gait recognition method for large-spacing depth metric learning in view of the deficiencies of gait recognition technology in existing complex situations

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  • Large space depth metric learning based gait recognition method
  • Large space depth metric learning based gait recognition method
  • Large space depth metric learning based gait recognition method

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Embodiment Construction

[0026] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0027] The present invention provides a gait recognition method based on large-spacing depth metric learning. In the method, a large-spacing depth metric learning model trains a convolutional neural network, and all gait energy maps are extracted through the convolutional neural network. Gait features, using the similarity of gait features to identify gait person identity.

[0028] figure 1 It is a schematic diagram of the framework of the method of the present invention. The gait recognition met...

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Abstract

The invention discloses a large space depth metric learning based gait recognition method. The large space depth metric learning based gait recognition method is characterized by comprising a trainingstage and a recognition stage; the training stage adopts a gait energy image to describe a gait sequence, a convolutional neural network is trained through a large space depth metric learning model,the convolutional neural network is taken as a feature extracting function in the recognition stage, the optimized gait feature is extracted from the gait energy image, and the identity of a gait person is recognized through nearest neighbor classifier. The gait recognition extracts the discriminative gait feature through the large space depth metric learning model, and the gait feature is matchedand recognized through similarity calculation. The large space depth metric learning based gait recognition method can be applied to various fields like intelligent video monitoring and intelligent vision robots, and has a broad application prospect.

Description

technical field [0001] The invention relates to a gait recognition method based on large-spacing depth metric learning, and belongs to the technical field of pattern recognition. Background technique [0002] Gait recognition, which determines identity through the way humans walk, has recently received increasing attention. Compared with other biometrics (such as face, iris, fingerprints), gait has some important advantages: 1) It is more suitable for long-distance Recognition, especially when other creatures are occluded or the resolution is too low; 2) It is difficult to imitate or camouflage, because this is a long-term human behavior; 3) A better recognition effect can be achieved without the cooperation of the user. These characteristics make gait very suitable for the field of intelligent video surveillance for security protection. [0003] In recent years, a large number of gait recognition methods have been proposed, which can generally be divided into two categorie...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/25G06N3/045G06F18/2413
Inventor 辜州徐万江顾铭徐虞诚王琪陆慧婷
Owner YANCHENG TEACHERS UNIV
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