Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene. Current methods solve these issues by compounding multi-scale Convolutional...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2020-07-01
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Series: | Journal of Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1515/jisys-2019-0157 |