Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network

Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network

Crowd counting is a challenging task due to the influence of various factors, such as scene transformation, complex crowd distribution, uneven illumination, and occlusion. To overcome such problems, scale-adaptive convolutional neural network (SaCNN) used a convolutional neural network to obtain hig...

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Bibliographic Details
Main Authors: Jun Sang, Weiqun Wu, Hongling Luo, Hong Xiang, Qian Zhang, Haibo Hu, Xiaofeng Xia
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Crowd counting
convolutional neural network
scale-adaptive convolutional neural network (SaCNN)
density map
scale-adaptive
absolute count loss
Online Access:https://ieeexplore.ieee.org/document/8643345/

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https://ieeexplore.ieee.org/document/8643345/

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