Garment identification method and system for low-resolution video

A low-resolution, clothing technology, applied in character and pattern recognition, image analysis, image data processing, etc., can solve the problems of low-resolution video character clothing and identity recognition, and achieve the effect of reducing interference

Active Publication Date: 2012-06-27
杭州晨鹰军泰科技有限公司
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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 proble...

Method used

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  • Garment identification method and system for low-resolution video
  • Garment identification method and system for low-resolution video
  • Garment identification method and system for low-resolution video

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Embodiment 1

[0034] Please refer to the attached figure 2 , is a flow chart of a low-resolution video clothing recognition method disclosed by the present invention, which mainly includes the following steps:

[0035] Step S101, extracting the foreground image in the received video stream.

[0036] Please see attached image 3 , the specific process of executing step S101 is:

[0037] Step S1011, read the video stream into a computer or related equipment that can be analyzed, decompose the obtained video stream, and obtain multiple single-frame video sequences according to time series.

[0038] Step S1012, acquiring a plurality of foreground images corresponding to the single-frame video sequence. The process of obtaining a foreground image corresponding to a single-frame video sequence in the step S1012 is as follows: first, perform background modeling on the video according to the content of the video sequence; secondly, determine the current single-frame video sequence and the curre...

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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...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
Inventor 李响李俐张超陈晓娟
Owner 杭州晨鹰军泰科技有限公司
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