Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes

Counting and localization of people in videos consisting of low density to high density crowds encounter many key challenges including complex backgrounds, scale variations, nonuniform distributions, and occlusions. For this purpose, we propose a scale driven convolutional neural network (SD-CNN) mo...

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Bibliographic Details
Main Authors: Saleh Basalamah, Sultan Daud Khan, Habib Ullah
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
non-maximal suppression
head detection
crowd counting
motion analysis
Online Access:https://ieeexplore.ieee.org/document/8721049/

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