Gait recognizing method and gait feature abstracting method based on infrared thermal imaging

Abstract

The invention belongs to the computer image processing technical field and relates to a gait feature extraction method and a gait recognition method adopting the feature extraction method. The invention uses an infrared thermal imager to collect a gait image sequence and split a human body target, makes a specificationized superposition processing to the gait image sequence and the human body target to obtain a gait feature image, then takes advantage of wavelet decomposition and invariant moment combined with a skeleton theory to extract gait feature parameters which are taken as gait feature recognition parameters to be input into a support vector machine for classification recognition. The gait feature extraction method and the gait recognition method provided by the invention can effectively detect the human body target, eliminate the influence caused by change factors such as backgrounds, lighting and so on, and improve the correct recognition rate of the gait.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, and in particular relates to a gait feature extraction method and a gait recognition method using the feature extraction method. Background technique [0002] Gait Recognition is one of the emerging fields in biometrics recognition technology. It aims to realize the identification of personal identity or the detection of physiological, pathological and psychological characteristics according to people's walking posture, and has broad application prospects. Gait recognition has unique advantages that other biometric authentication technologies do not have, that is, the recognition potential in long-distance or low video quality situations, and the gait is difficult to hide or camouflage, etc. However, in practical applications, due to the existence of many objective factors, it brings many difficulties to the final recognition of gait. How to recognize gait features more accurat...

AI Technical Summary

Problems solved by technology

However, in practical applications, due to the existence of many objective factors, it brings many difficulties to the final recognition of gait. How to recognize gait features more accurately is a difficult problem in the field of gait recognition.

The uncertainty in the acquisition process of the gait image sequence makes the gait recognition process bound to be disturbed by various external factors, which makes it very difficult to detect human objects in complex backgrounds or under different lighting conditions.

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