Gait recognition method based on skeleton map sequence abnormal joint repair

Abstract

The invention discloses a gait recognition method based on skeleton map sequence abnormal joint repair. The method comprises the following steps: (1) extracting a skeleton map sequence of a gait target to be detected from a video by using an attitude estimation algorithm; (2) carrying out error correction and smoothing processing on the skeleton graph sequence according to the topological structure space constraint and the context time constraint of the human skeleton; (3) taking the X-axis coordinate sequence and the Y-axis coordinate sequence of the processed skeleton map as input of a network model, and sending the network model to a trained CNN network for space-time feature vector extraction; and (4) classifying the extracted feature vectors by using a Softmax classifier, and identifying the gait identity. According to the gait recognition method, the problem that traditional gait recognition is easily affected by object shielding, clothes, visual angles, carried objects and otherco-variable factors can be avoided, and meanwhile the problem that the recognition rate is not high due to a gait recognition method based on posture detection is solved.

Description

technical field [0001] The invention belongs to the field of gait biological feature recognition, in particular to a gait recognition method for repairing abnormal joints based on skeleton graph sequences. Background technique [0002] Gait recognition is a kind of biometric identification method, which can use gait information to identify people's identity. In the field of intelligent video surveillance, gait recognition is the only biotechnology that can be obtained in a long-distance uncontrolled state, especially in the fields of identification, crime prevention and forensic identification. The basic goal of recognition is to obtain a video of the normal walking gait of the pedestrian to be detected, and compare it with the pedestrian gait in the database to find out the identity of the person in the database corresponding to the gait to be detected. Its advantage is that the detection process is non-inductive, non-contact, and does not require other human participation...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: In view of the above problems and defects, the present invention provides a gait recognition method based on the repair of abnormal joints in the skeleton diagram sequence, which can avoid the traditional gait recognition being easily affected by covariate factors such as object occlusion, clothing, viewing angle and carrying objects. At the same time, it makes up for the problem of low recognition rate caused by the gait recognition method based on the pose skeleton diagram sequence.

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