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Gait cycle detection method through layering and coding for depth information

A technology of layered coding and depth information, which is applied in human identification, diagnostic recording/measurement, medical science, etc., can solve the problems such as the inability to fully utilize the grayscale features of depth images, and the difficulty of detecting gait cycles in depth sequence images. achieve high precision

Inactive Publication Date: 2013-08-28
SHANDONG UNIV
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Problems solved by technology

However, these methods are all for gait video streams, it is difficult to directly transplant to gait cycle detection on depth sequence images, and cannot make full use of the grayscale features of depth images

Method used

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  • Gait cycle detection method through layering and coding for depth information
  • Gait cycle detection method through layering and coding for depth information
  • Gait cycle detection method through layering and coding for depth information

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Experimental program
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Embodiment

[0036] Select the cut depth image sequences of two different research objects in the TUM GAID database, respectively as image 3 , 4 As shown, places of different colors represent different depth intensity values.

[0037] The uniform threshold was chosen experimentally. Use I(m,n) to represent the grayscale intensity at the pixel point coordinates (m,n) in the original depth image, and Bw(m,n) to represent the quantized coding value of the pixel point after hierarchical processing. The specific selection is:

[0038] ① The gray value is quantized into 2 layers:

[0039] Bw ( m , n ) = 0 I ( m , n ) = 0 ...

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Abstract

The invention discloses a gait cycle detection method through layering and coding for depth information. According to the method, depth sequence information is transformed into depth features of single frames to analyze problems, that is, the gait cycle is analyzed according to layer feature change conditions of depths of images in each frame. The detection method comprises the steps of extracting gray values of single frame depth images after background removal; subjecting the gray value information of single frame depth images after background removal to layering according to a set threshold; performing uniform quantization coding on each layer of information; calculating the sum of pixel codes of each frame to form new signals; and separating the gait cycle according to minimal value points of the new signals. According to the detection method, the gray features of the depth images are fully used, the accuracy of the separated gait cycle is high, a certain foundation is laid for accurate gait recognition.

Description

technical field [0001] The invention relates to the fields of image processing and pattern recognition, in particular to a gait cycle detection method for layered encoding of depth information. Background technique [0002] With the rapid development of computer storage and coding technology, depth information is getting more and more attention in the fields of computer vision and image processing. Different from two-dimensional optical images, each pixel in the depth image represents a relative depth information, through which the surface geometry of the object is described. Compared with traditional optical images, depth images are not affected by ambient lighting and shadows, which greatly improves data reliability. [0003] In the field of gait recognition, the use of depth data for identity recognition is also gaining attention. Gait recognition is to obtain the gait characteristics of the researched object from the walking posture of people to identify the individual...

Claims

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Application Information

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IPC IPC(8): A61B5/117A61B5/11G06K9/00
Inventor 贲晛烨张鹏江铭炎付希凯陆华葛国栋
Owner SHANDONG UNIV
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