A multi-person human pose estimation method
A human body posture and human body technology, applied in the field of multi-person human body posture estimation, can solve the problems of low accuracy rate of key point detection of human body, poor robustness of occlusion interference, etc., and achieve the effect of improving recognition rate and avoiding interference
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[0116] In this embodiment, a method for estimating the posture of a multi-person human body, the specific steps are as follows:
[0117] A process. Establishment and training of deep feature human key point detection model:
[0118] The first step, image data preprocessing:
[0119] Step (1.1), image normalization:
[0120] Obtain MScoco image data set for multi-person human pose estimation. This data set is a public data set in the field of human pose estimation. It is divided into label files and image files. The label file saves the location information of 17 human key points that have been marked for each image. , to preprocess the multi-person human body pose estimation images in the acquired multi-person human body pose estimation MScoco image data set, that is, to adjust the image to a size of 384×288 pixels, and then according to the three combinations of expectation and standard deviation: (0.485,0.229 ), (0.456, 0.244), (0.406, 0.255), respectively standardize the ...
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