An Improved Multibranch Convolutional Neural Network with a Compensator for Crowd Counting
Image-based crowd counting has extremely important applications in public safety issues. Most of the previous studies focused on extremely dense crowds. However, as the number of webcams increases, a crowd with extremely high density can obtain less error by summing the images of multiple close-rang...
Saved in:
Main Authors: | Zhiyun Zheng, Zhenhao Sun, Guanglei Zhu, Zhenfei Wang, Junfeng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2022/8213855 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiscale regional calibration network for crowd counting
by: Jiamao Yu, et al.
Published: (2025-01-01) -
Single-Frame Infrared Small Target Detection Network Based on Multibranch Feature Aggregation
by: Ziqiang Hao, et al.
Published: (2025-01-01) -
An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks
by: Shuai Zhou, et al.
Published: (2025-01-01) -
Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network
by: Xun Duan, et al.
Published: (2021-01-01) -
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety
by: Haohan Ding, et al.
Published: (2025-01-01)