Crowd Counting in High Dense Images using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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Crowd Counting in High Dense Images using Deep Convolutional Neural Network

Published:2021-11-19 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)
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Author:

Sharath S.V.,Biradar Vidyadevi,Prajwal M.S.,Ashwini B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9663568/9663422/09663716.pdf?arnumber=9663716

Reference16 articles.

1. Estimation of Crowd Density Based on Wavelet and Support Vector Machine

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

3. ResNet-50 and VGG-16 for recognizing facial emotions;dhankhar;International Journal of Innovations in Engineering and Iechnology (IJIEI),0

4. Improved Kiwifruit Detection Using Pre-Trained VGG16 With RGB and NIR Information Fusion

5. HA-CCN: Hierarchical Attention-Based Crowd Counting Network

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1. Flexible thermal camera solution for Smart city people detection and counting;Multimedia Tools and Applications;2023-08-01

2. Population Density Estimation using Single Shot Detection Algorithm;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

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