Dense crowd counting method based on multi-scale feature pyramid network
A feature pyramid, multi-scale feature technology, applied in the field of image processing, can solve problems such as crowd counting and density map prediction difficulties, achieve efficient parallel computing capabilities, improve training and inference speed, and improve the effect of robustness
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[0042] The present invention is further explained in the following description, which is apparent from the description, which is apparent from the description, which is apparent from the accompanying drawings. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.
[0043] Due to the difference between the shooting angle and the distance, there is a large number of people in the image, and the background changes in the crowd scene are complex, and the human body occurs. Although the image multi-scale characteristics can be extracted by combining standard convolutions, it can cause problems such as difficulty in training, calculation amount and parameter increase. Further, if the extracted feature does not distinguish and does not consider the correlation between the features, it is directly fused, and the network model will cause a ro...
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