Fourier descriptor and gait energy image fusion feature-based gait identification method

Abstract

The invention relates to a Fourier descriptor and gait energy image fusion feature-based gait identification method. The method comprises the steps of performing graying preprocessing on a single frame of image, updating a background in real time by using a Gaussian mixture model, and obtaining a foreground through a background subtraction method; performing binarization and morphological processing on each frame, obtaining a minimum enclosing rectangle of a moving human body, performing normalization to a same height, and obtaining a gait cycle and key 5 frames according to cyclic variation of a height-width ratio of the minimum enclosing rectangle; extracting low-frequency parts of Fourier descriptors of the key 5 frames to serve as features I; centralizing all frames in the cycle to obtain a gait energy image, and performing dimension reduction through principal component analysis to serve as features II; and fusing the features I and II and performing identification by adopting a support vector machine. According to the method, the judgment whether a current human behavior is abnormal or not can be realized; the background is accurately modeled by using the Gaussian mixture model, and relatively good real-time property is achieved; and the used fused feature has strong representability and robustness, so that the abnormal gait identification rate can be effectively increased.

Description

Technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a gait recognition method based on the fusion feature of Fourier descriptor and gait energy map. Background technique [0002] With the advancement of science and technology, biometric recognition technology is favored by more and more people for its convenience, safety and reliability, such as face recognition, fingerprint recognition, gait recognition, etc., among which gait recognition is the only creature that can be recognized at a distance Technology has become a research hotspot in the field of intelligent surveillance due to its non-invasiveness and difficulty in modification and hiding, such as the Human Identification at a Distance (HID) project in the United States. [0003] There are three types of traditional gait characterization techniques: structural characterization, non-structural characterization, and fusion characterization; structural characterization ob...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a gait recognition method based on fusion features, aiming to solve the problem of "you can't have both" in the existing gait recognition methods

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