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Figure identification method in low-resolution video

A person recognition, low-resolution technology, applied in the field of person recognition, can solve the problems of blurred gait motion characteristics of each frame, dimensional changes, low recognition accuracy, etc., to eliminate major obstacles, high accuracy, and improve analysis. effect of ability

Inactive Publication Date: 2010-09-15
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The advantage of this method is that it reduces the interference of carrying items. However, this method needs to solve the problem of the dimension change of SVB Frieze features, and the method of averaging SVB Frieze features proposed by Seungkyu blurs the gait motion characteristics of each frame. Therefore, the recognition accuracy is not high

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  • Figure identification method in low-resolution video
  • Figure identification method in low-resolution video
  • Figure identification method in low-resolution video

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[0019] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are carried out on the premise of the technical solutions of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following examples.

[0020] The method process of the present invention is as figure 1 As shown, after reading the video of the target person, first extract and process the outline of the person, then extract the horizontal SVB Frieze feature and the vertical SVB Frieze feature, and use the dynamic time normalization algorithm to obtain the horizontal left and right step SVB Frieze difference features, the vertical left and right step SVB Frieze difference features, and finally use the dynamic time warping algorithm to match the above features and classify them with minimum neigh...

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Abstract

The invention relates to a figure identification method in low-resolution video, which is characterized by solving the SVB Frieze feature for the extracted figure foreground and carrying out the dynamic time warping distance matching and the nearest neighbour classification of the SVB Frieze features. The method comprises the following steps of: (1) extracting the foreground image of the figure outline in the target figure video; (2) extracting the information such as the height, width and gait cycle of the figure outline image and zooming the figure outline image; (3) solving the transverse SVB Frieze feature, the longitudinal SVB Frieze feature, the SVB Frieze difference feature of the transverse left and right steps, and the SVB Frieze difference feature of the longitudinal left and right steps; (4) carrying out the dynamic time warping distance matching for the four features, and weighting and summing the features and carrying out the nearest neighour classification for the four features. The invention has the advantages of easy realization, strong robustness, high precision and strong practicability. The invention realizes the analysis of the movement features of the figure on the basis of the frame and can be used as the real-time and reliable method of identifying the target person in the intelligent appliances.

Description

technical field [0001] The invention relates to a method for identifying people in low-resolution videos, in particular to a method for extracting SVB Frieze feature information of people from a single fixed low-resolution camera, and distinguishing people based on the feature information. It can be widely used in non-contact long-distance identification, smart home appliances, auxiliary monitoring, etc., and belongs to the field of person recognition in pattern recognition. Background technique [0002] Gait recognition is a person identification based on the person's walking posture. It is based on the extracted image of the person's outline, and is designed not to consider factors such as clothes and background. With the application of computer vision technology in the home appliance industry, smart home appliances that can automatically identify people in real time have become a new point of competition in the world's home appliance industry. Due to its wide application...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/64
CPCG06K9/00369G06K9/00348G06V40/25G06V40/103
Inventor 孙兵李科田雨刘允才
Owner SHANGHAI JIAO TONG UNIV
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