Gait feature extraction method and pedestrian identity recognition method based on gait features
A technology of gait features and extraction methods, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as insufficient sample size, low recognition accuracy, and inability to meet real-time requirements
Active Publication Date: 2019-08-02
CENT SOUTH UNIV
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[0006] The technical problem to be solved by the present invention is to provide a gait feature extraction method and a pedestrian identification method based on gait features in view of the deficiencies in the prior art, using a deep learning algorithm to extract gait features, based on the extracted gait Feature data can identify the identity of pedestrians in the case of small samples, which solves the problem that the existing technology cannot meet the real-time requirements, and the sample size is not enough, resulting in low recognition accuracy
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Embodiment 1
[0070] This embodiment is aimed at gait sequence images, and the overall implementation process is as follows figure 1 and figure 2 As shown, the gait recognition method is carried out in the following steps:
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Abstract
The invention discloses a gait feature extraction method and a pedestrian identity recognition method based on gait features, and the method comprises the following steps: A, obtaining a region wherea pedestrian is located as a region of interest for each frame of gait image in a gait image sequence; B, segmenting a pedestrian target in the region of interest; C, acquiring joint point position information of the pedestrian target in each frame of gait image; D, based on joint point position information of the pedestrian target in each frame of gait image of the gait image sequence, carrying out gait period detection; and E, synthesizing a gait energy image corresponding to the gait image sequence according to the detected gait period, and taking the gait energy image as gait characteristics; based on the extracted gait characteristics, judging or identifying the pedestrian target by using a judgment network and a comparison network. According to the method, the problem of insufficientsample size in small sample classification in the field of gait recognition is well solved, and the algorithm is good in real-time performance.
Description
technical field [0001] The invention belongs to the field of image information processing, and in particular relates to a gait feature extraction method and a pedestrian identification method based on gait features. Background technique [0002] With the rapid development of modern society, it has become a new normal to use informatization and intelligent means to ensure social security. Especially after the National Development and Reform Commission proposed the smart city construction strategy, it is of great significance to build a safe and convenient smart city through modern means. In the construction of smart cities, social security issues are the most important part and have attracted people's attention. In the field of security, many technologies are applied to video surveillance and identity authentication. Among them, biometric identification brings great convenience to our daily life, such as face, fingerprint, and iris recognition. Although these biometric feat...
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IPC IPC(8): G06K9/00G06K9/32G06K9/34
CPCG06V40/25G06V10/25G06V10/267
Inventor 郭璠向达唐琎吴志虎肖晓明高琰
Owner CENT SOUTH UNIV
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