People recognition method and device based on video images

A person recognition, video image technology, applied in the field of person recognition, can solve the problems of low accuracy, fuzzy features of human body outline, and limit practical application, etc., to reduce the dimensionality, improve the analysis ability, and simplify the process of matching and recognition Effect

Inactive Publication Date: 2014-04-16
云汉芯城(上海)互联网科技股份有限公司
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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

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  • People recognition method and device based on video images
  • People recognition method and device based on video images
  • People recognition method and device based on video images

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Embodiment Construction

[0043] In the prior art, in the gait-based person recognition method, the model-based method is very robust to the person's own occlusion and has a large amount of calculation, so it is not suitable for engineering applications; while the non-model-based method, Although it is easy to obtain a gait energy map that reflects the distribution of human motion postures, and has strong anti-noise ability, because the gait energy map is directly used for matching, there is a big defect, such as blurring the characteristics of the human contour, so the accuracy of this method Not high, which limits its practical application. The embodiments of the present invention provide a person recognition method and a person recognition device based on video images, which not only overcome the disadvantages of poor robustness to complex environments and large computational complexity in the existing model-based methods, but also overcome the disadvantages of The non-model method blurs the shortcom...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
Inventor 刘云峰仝明磊
Owner 云汉芯城(上海)互联网科技股份有限公司
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