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Multi-angle gait recognizing method based on semi-supervised coupling measurement of picture

A gait recognition, semi-supervised technology, applied in the field of pattern recognition, can solve problems such as not considering category information, unsupervised, etc.

Active Publication Date: 2015-03-25
HARBIN ENG UNIV
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Problems solved by technology

But CCA is an unsupervised dimensionality reduction method that does not consider category information

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  • Multi-angle gait recognizing method based on semi-supervised coupling measurement of picture
  • Multi-angle gait recognizing method based on semi-supervised coupling measurement of picture
  • Multi-angle gait recognizing method based on semi-supervised coupling measurement of picture

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[0084] The present invention uses a graph-based semi-supervised coupled projection to realize multi-view gait recognition. The method is divided into three steps: the first step is to use the codebook detection method to obtain the target contour sequence from the video stream, and make the human body centered with a uniform size of 64*64; the second step is to center the image according to each frame of the gait video sequence Finally, the cyclical changes in the gait are periodically observed according to the degree of separation of the two legs of the person during walking, and the overall characteristics of the gait are extracted by using the gait energy map (GEI) in a cycle; the third step is to construct a multi- In the off-line training phase of the perspective gait recognition system, a standard perspective (registered perspective) gait feature is selected, and the gait features of the remaining multiple perspectives are jointly trained with the standard perspective gai...

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Abstract

The invention belongs to the field of pattern recognizing, and particularly relates to a multi-angle gait recognizing method based on semi-supervised coupling measurement of a picture. The multi-angle gait recognizing method comprises the steps that a target outline sequence is obtained from video streaming through a codebook detecting method; the overall feature of a gait is extracted from a cycle through a gait energy picture; an off-line training stage of a multi-angle gait recognizing system is established, and a semi-supervised coupling projection matrix pair based on the picture is obtained through training; target outline extracting is carried out on a test video, the gait cycle is detected for the size-normalized outline sequence, the gait energy picture feature of the single cycle is generated, and the selected semi-supervised coupling projection matrix pair based on the picture is estimated through the viewing angle. The multi-angle gait recognizing method solves the problem that according to a traditional gait recognizing method, gait features of all viewing angles need to be stored, and the storage volume is high; the identity recognizing for gaits of walking of any angle is valid.

Description

technical field [0001] The invention belongs to the field of pattern recognition, in particular to a multi-angle gait recognition method based on graph-based semi-supervised coupling measurement. Background technique [0002] Gait recognition is a research direction that has attracted much attention in the field of computer vision and biometrics in recent years. It aims to identify people based on their walking posture. [1,2] . Compared with other biometric technologies, gait recognition is the only biometric method that can be recognized at a long distance. Moreover, the advantages of non-contact gait, not easy to camouflage, and long-distance have great application prospects in intelligent video surveillance. [0003] However, gait recognition also faces many difficulties in practical applications, mainly manifested in the fact that pedestrians are affected by the external environment and their own factors during walking, such as different walking surfaces, different res...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/25G06F18/24147
Inventor 王科俊吕卓纹阎涛邢向磊
Owner HARBIN ENG UNIV
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