Multi-view-angle gait recognition method based on Kinect

Abstract

The invention discloses a multi-view angle gait recognition method based on Kinect. The multi-view angle gait recognition method based on Kinect comprises the steps that three-dimensional space position information of a framework joint point is collected and normalized to side view angles through view angle normalization; gait features existing after view angle normalization are extracted, and neural network modeling and recognition are conducted on gait system dynamics at different view angles in a training set; a constant value neural network is established, a dynamic estimator is established, and through the differences between gait modes at different view angles on the gait system dynamics, a test mode is recognized according to the minimum error rule. According to the multi-view angle gait recognition method based on Kinect, the three-dimensional space position information of the framework joint point is obtained, the help of other sensing devices is not needed, image processing is not needed, the complexity of a system is lowered, and the extraction precision of feature data is improved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a Kinect-based multi-view gait recognition method. Background technique [0002] At present, the traditional gait recognition method mainly obtains gait feature data through image processing, which is sensitive to the surrounding lighting environment, and poor lighting conditions may affect the accuracy of gait feature extraction; Clothes, accessories and other occlusions will also interfere and affect the extraction of gait features; the design of the entire image processing system is relatively complicated. Microsoft's Kinect uses active infrared technology for depth detection, which avoids the influence of surrounding lighting conditions and occluders, and can accurately obtain the three-dimensional space position information of human skeleton joint points in real time without resorting to other sensing devices, reducing the system cost. Complexity, wh...

AI Technical Summary

Problems solved by technology

Since the surveillance camera is usually installed in a fixed position, and the walking direction of the recognized object in the surveillance scene is random, it is impossible to walk in the direction specified by the designer of the gait recognition system. The problem of changing the viewing angle is an unavoidable problem in gait recognition

Many existing methods are not robust enough to view angle changes, and the performance will be greatly reduced or even invalid when dealing with multi-view gait recognition.

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