T gait cycle detection method based on a convolutional neural network
A convolutional neural network and periodic detection technology, applied in the field of computer vision, can solve problems such as large errors and achieve strong robustness
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[0042] Taking a large-scale gait recognition database as an example, the gait database contains gait video sequences of 124 people, each with 110 videos, including different viewing angles, clothing and objects.
[0043] Step 1. Preprocessing the gait video, including image preprocessing operations such as video decoding, pedestrian contour extraction and centroid normalization. First of all, the video sequence should be divided into frames. After the frame division, the sequence is an orderly sequence of images arranged in chronological order. The image sequence containing pedestrians and the background sequence are first subjected to grayscale transformation. As far as the environment is concerned, the median method can be used to estimate the background of the entire sequence, and then the background image is subtracted from the foreground image and then binarized to obtain the gait contour image. Let The gray value is I k (x,y), where the background gray value is M k (x,...
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