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Gait Feature Extraction Method Based on Trajectory Analysis of Human Center of Gravity

A technology of gait characteristics and trajectory analysis, applied in the field of information science, can solve the problems of clothing, carrying objects and walking direction, etc., and achieve the effect of not being easy to camouflage, convenient detection and avoiding complicated processes

Inactive Publication Date: 2017-02-22
JINAN UNIVERSITY
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Problems solved by technology

[0004] In order to overcome the defect that the existing gait feature extraction methods are easily affected by clothing, carrying objects and walking direction, the present invention proposes a gait feature extraction method based on the analysis of the trajectory of the center of gravity of the human body. This method can not only solve the problems faced by current feature extraction methods It can also extract one-dimensional gait feature vectors from complex gait images, which is convenient for further analysis, training and recognition

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  • Gait Feature Extraction Method Based on Trajectory Analysis of Human Center of Gravity

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Embodiment

[0048] Such as figure 1 Shown, the present invention is based on the gait feature extraction method of human body center of gravity locus analysis, comprises the following steps:

[0049] 1. Gait detection and tracking

[0050] First convert the original video image into a single-channel grayscale image, then perform Gaussian filtering to smooth the image, and then use the three-frame difference method to convert it into a binary image. The specific calculation is as follows:

[0051]

[0052] In the formula: I n (x) represents the domain value of the nth frame image at the pixel position x that is statistically significant to describe the grayscale change, I n-1 (x) represents the grayscale value of the n-1th frame image at the pixel position x, I n-2 (x) represents the grayscale value of the n-2th frame image at the pixel position x, T n (x) indicates the threshold value of the grayscale change of the nth frame image. When the grayscale value at a certain pixel position...

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Abstract

The invention discloses a gait feature extraction method based on human body gravity center track analysis. The method comprises the steps of: S1, gait detection and tracking: original video images are converted into single channel gray scale images, and the images are smoothed through Gauss filtering, and the images are further converted into binary images; S2, positions of human body gravity centers are calculated, and gravity center coordinates of the image of each frame in a moving object in motion are connected in a same coordinate system to obtain a gravity center track of a pedestrian; and S3, gait waveforms after being subjected to denoising are input into a computer, and a harmonic wave amplitude corresponding to a K subharmonic frequency is calculated through the utilization of a formula, and a corresponding frequency spectrogram is drawn and output. According to the invention, problems encountered in present feature extraction can be solved, and a one-dimensional gait characteristic vector can be extracted from the complex gait images, so that further analysis, training and identification are convenient.

Description

technical field [0001] The invention relates to the technical field of information science, in particular to a method for extracting gait features based on the analysis of the trajectory of the center of gravity of a human body. Background technique [0002] Currently, gait features are mainly represented by the differences between different frames of images of people walking. Since the image difference in the walking process of people is mainly manifested in the changes of the legs and feet, the current gait feature extraction is mainly realized by the changes of the angle of the legs and the angle between the feet and the ground, even if the overall image is based on the speed, For gait features extracted from related features such as shape and color, the most fundamental change is still the change caused by the swing of the arms and legs, and the change of the torso is still negligible. [0003] It is known that the current gait feature extraction technology is based on ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/00G06T7/66G06T5/00
Inventor 杨天奇陈欣
Owner JINAN UNIVERSITY
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