Gait cycle detection method through layering and coding for depth information
A layered encoding and depth information technology, which is applied in the fields of image processing and pattern recognition, can solve the problems of not being able to make full use of the grayscale features of depth images, and it is difficult to detect gait cycles in depth sequence images, and achieve high accuracy.
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[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 gray 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 layered 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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