People recognition method and device based on video images

Abstract

The invention discloses a people recognition method and device based on video images. The people recognition method includes the steps of firstly, extracting N images from target video images, and determining a background image and a foreground area in the target video images, wherein the foreground area includes a body contour image; secondly, extracting a plurality of body contour characteristic points from the body contour image; thirdly, setting up a three-dimensional body model based on a human skeleton, wherein the three-dimensional body model includes a plurality of three-dimensional joint angle parameters; fourthly, conducting rectangular projection on the three-dimensional body model to obtain a body smooth curve; fifthly, matching the body contour characteristic points extracted from the images with the body smooth curve to determine all the three-dimensional joint angle parameters; sixthly, conducting dimensionality reduction on all the three-dimensional joint angle parameters to obtain gait data to be recognized; seventhly, matching the gait data to be recognized with well-trained gait data to complete people recognition. According to the technical scheme, the people recognition method and device have the advantages of improving the capacity for analyzing the body contour characteristic information, reducing the operational amount, being high in robustness, and the like.

Description

Technical field [0001] The invention relates to the field of person recognition in pattern recognition, and in particular to a person recognition method and a person recognition device based on video images. Background technique [0002] With the rapid development of science and technology, the use of cameras to monitor dynamic scenes has long been widely used in various fields of society, such as access control systems and security monitoring that are sensitive to security requirements. Due to the wide application prospects and potential economic value, the video monitoring of human motion is a frontier subject that has attracted much attention in recent years, and the use of biometric technology to assist human motion analysis is a development trend. In the current long-distance identity recognition video surveillance system, gait is considered to be the most potential biometric feature. The first-generation biometric features such as face, fingerprint, iris, etc. usually requi...

AI Technical Summary

Problems solved by technology

The advantage of this method is that it is easy to obtain and has strong anti-noise ability. However, the direct use of the gait energy map for matching has a big defect: the features of the human body outline are blurred, so the accuracy of this method is not high, which limits its practical application.

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