Far distance identity identifying method based on walk

Abstract

The far distance identity identifying method based on walk includes two processes of training and identifying. The training process includes the steps of obtaining training walk sequence, spatial contour cutting, shape and distance signal extraction, main component analysis, personalized physique characteristic extraction to extract visible personalized characteristic as additional characteristic for final vertification of walk classification, and obtaining trained walk data base. By means of statistic pivot element analysis method, far distance identify identifying system based on walk behavoir is realized. The present invention utilizes also improved background reduction method, characteristic space transformation of motion contour, and correlation identification or nearest neighbour rule in the characteristic extraction.

Description

technical field

[0001] The invention belongs to the field of pattern recognition, in particular to a long-distance identity recognition method based on gait. Background technique

[0002] With the rapid development of modern technology, the use of cameras to monitor dynamic scenes has long been widely used in all aspects of society, especially those sensitive to security requirements, such as national defense, communities, banks, military bases, etc. Visual monitoring of dynamic scenes is a frontier research direction that has attracted much attention in recent years. It detects, recognizes, tracks targets and understands their behavior from image sequences captured by cameras. Although the surveillance camera, which is an extension of human vision, has been widely used in commercial applications, it has not fully utilized its role as a real-time and active surveillance medium. Therefore, it is increasingly urgent and necessary to develop an automatic and intelligent visual...

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