Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks

Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks

Crowd counting and density estimation is an important and challenging problem in the visual analysis of the crowd. Most of the existing approaches use regression on density maps for the crowd count from a single image. However, these methods cannot localize individual pedestrian and therefore cannot...

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Bibliographic Details
Main Authors: Muhammad Saqib, Sultan Daud Khan, Nabin Sharma, Michael Blumenstein
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep convolutional neural networks
crowd counting and density estimation
Motion Guided Filter
faster R-CNN
Online Access:https://ieeexplore.ieee.org/document/8669755/

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