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Method for representing and recognizing gait characteristics based on frequency domain analysis

A technology of gait characteristics and frequency domain analysis, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as large amount of calculation, many parameters, difficult model modeling gait, etc.

Inactive Publication Date: 2012-08-08
NANJING UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has many parameters and a large amount of calculation, and it is difficult to choose a suitable model to model the gait

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  • Method for representing and recognizing gait characteristics based on frequency domain analysis
  • Method for representing and recognizing gait characteristics based on frequency domain analysis
  • Method for representing and recognizing gait characteristics based on frequency domain analysis

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Embodiment Construction

[0044] The present invention adopts the binarized side view of gait features, and performs gait feature representation and recognition based on frequency domain analysis, such as figure 1 , and its specific implementation is as follows:

[0045] 1) Binarized side view sequence preprocessing, such as figure 2 :

[0046] 11) Gait cycle detection. The gait cycle is determined by analyzing the number of moving foreground pixels in the binarized side view. A complete gait cycle of a person contains five key postures, which are the left and right feet together, and the left foot forward. and landing, left and right feet together, right foot forward and landing, left and right feet together, they respectively correspond to the local minimum value, local maximum value, local minimum value, local maximum value, and local minimum value of the number of moving foreground pixels. Value a subsequence of the sequence of side views that is considered to be a cycle of the gait if it contai...

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Abstract

The invention discloses a method for representing and recognizing gait characteristics based on frequency domain analysis, which comprises the following steps of: preprocessing sampled gait sequences, training based on the sampled gait sequences to obtain a characteristic frequency and constructing a gait characteristic library to recognize given unknown gait sequences. In the invention, a gait sequence is regarded as an integer; the characteristics are extracted through analyzing the frequency characteristics that the profile-centroid distance signals of the gait sequence change; on one hand, the integrity of the gait sequences is shown, and on the other hand, the characteristic that the walking behavior of a person has a certain periodicity is also adequately utilized. In the invention,the correct recognition rate of gait recognition is improved and relatively small calculation overhead can be achieved. The recognition can be carried out relatively precisely by means of the previously established gait characteristic library by using the side view about the walking of the person, which is obtained through a video camera and gained through the preprocessing, as the input of the method for recognizing gait in the invention.

Description

technical field [0001] The invention belongs to the field of computer image processing and pattern recognition, in particular to a gait feature representation and recognition method based on frequency domain analysis. Background technique [0002] Gait recognition technology is a new direction of biometrics research. Compared with other biometric technologies, such as face recognition, iris recognition, palmprint recognition, etc., gait recognition has the following four advantages: (1) It can be recognized at a long distance, and gait recognition is currently the only one that can be used for long-distance Identification technology; (2) non-invasive, that is, it will not interfere with the actions of the identified person, and the gait characteristics can be collected passively without the cooperation of the perpetrator; (3) the gait characteristics are difficult to hide; (4) Gait recognition has better adaptability to low-resolution images. [0003] The traditional gait ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 王崇骏母洪波刘晶晶唐鹏
Owner NANJING UNIV