MSR‐FAN: Multi‐scale residual feature‐aware network for crowd counting
Author:
Affiliation:
1. School of Information Engineering Nanchang University Nanchang 330031 China
2. School of Software Nanchang University Nanchang 330047 China
3. Jiangxi Key Laboratory of Smart City Nanchang 330047 China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12175
Reference45 articles.
1. Crowd Counting Via Cross-Stage Refinement Networks
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3. Body Structure Aware Deep Crowd Counting
4. Li M. et al.:Estimating the number of people in crowded scenes by mid based foreground segmentation and head‐shoulder detection. In:International Conference on Pattern Recognition (ICPR).Florida pp.1–4(2008)
5. Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching
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