Garment identification method and system for low-resolution video

Abstract

The invention discloses a garment identification method and system for a low-resolution video. The garment identification method is based on a space-time classifier fusion technology and specifically comprises the following steps of: extracting foreground images from a video stream, and extracting contour information on moving objects in the foreground images; carrying out identification on moving human objects according to the extracted contour information; carrying out multi-point feature identification treatment on different subblocks of the same human object in an image of the same frame in the video stream, and carrying out voting judgment on an identified result; and carrying out voting judgment on identified results for the same human object in multi-frame images in the video stream, and finally, determining the categories of the garments for the moving human objects. With the adoption of the space-time classifier fusion technology-based method disclosed by the invention, the categories of the garments and the identities of the human objects are finally determined through carrying out judgment on the garment features of the same moving object in a plurality of video frames based on motion detection, human body identification and garment identification, and thus, the aim of high-efficiency, high-quality and high-accuracy identification of the identities and the garments is achieved.

Description

technical field [0001] The present invention relates to the technical field of image information processing, and more specifically, relates to a low-resolution video clothing recognition method and system. Background technique [0002] With the continuous advancement of science and technology, traditional biometric technology has been difficult to meet the security protection requirements of security-sensitive occasions (such as military compound, armed police compound and other military jurisdictions). Therefore, there is a need for an intelligent visual monitoring system that can automatically identify people in real time. In recent years, non-contact and long-distance person identification technology has attracted extensive attention from researchers and has also been developed accordingly. [0003] At present, the relevant research is mainly carried out in the field of multi-mode and large-scale visual monitoring technology to realize long-distance personnel detection, c...

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention provides a low-resolution video clothing recognition method and system to overcome the problem that the face recognition-based method in the prior art cannot realize the clothing and identity recognition of people in low-resolution videos

Images