Gait recognition method and device

A gait recognition and gait technology, applied in the field of pattern recognition, can solve the problems of incomplete gait cycle, failure of modeling, and inability to find hidden states in the modeling process, and achieve the effect of improving robustness.

Active Publication Date: 2013-12-25
深圳中智卫安机器人技术有限公司
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Problems solved by technology

[0004] However, the gait recognition method based on the hidden Markov model needs to estimate the gait cycle. When the person to be recognized is blocked in some frames of the video, or the person to be recognized only appears in the video for a short time, the The gait cycle is incomplete. When the gait cycle is incomplete, some hidden states cannot be found in the modeling process, which makes the modeling fail, and the gait recognition method will fail.

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  • Gait recognition method and device

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[0066] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0067] Such as figure 1 As shown, the gait recognition method that the embodiment of the present invention provides comprises:

[0068] S1, training sample video images to obtain a gait codebook;

[0069] see figure 2 , this step may further include:

[0070] S11. Obtain a pedestrian foreground image sequence in the sample video image;

[0071] S12. Label each pedestrian foreground image sequence; that is, determine the identity of the pedestrian in the pedestrian foreground image sequence.

[0072] S13. Extracting the directional gradient histogram...

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Abstract

The invention provides a gait recognition method and device and belongs to the technical field of mode recognition. The gait recognition method comprises the steps of training sample video images to obtain a gait codebook, obtaining foreground image sequences of a person to be recognized during walking, extracting oriented gradient histogram characteristics of the foreground image sequences, generating sparse coding characteristics according to the gait codebook generated through training and the oriented gradient histogram characteristics and obtaining identity of the person to be recognized according to the sparse coding characteristics. When the person to be recognized is blocked by parts of video frames or appears in videos only for a short period of time, the gait recognition method and device can accurately recognize the identity of the person to be recognized.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a gait recognition method and device. Background technique [0002] In recent years, how to effectively and reliably verify and identify personal identities in a natural way without affecting the normal activities of the people to be identified has received widespread attention in the field of public security. Commonly used biometric authentication methods, such as fingerprints and palm prints, require physical contact and cooperation between the person to be identified and the identification device, while the identity verification method based on a video surveillance system does not require the cooperation and attention of the person to be identified. Human gait information is one of the important biological characteristics that can be obtained through video. Using gait as a biometric feature can identify people in low-resolution video images. [0003] The prior ar...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66
Inventor 覃剑钊阎镜予黄卜夫
Owner 深圳中智卫安机器人技术有限公司
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