Atrous convolutions spatial pyramid network for crowd counting and density estimation
Scale variation because of perspective distortion is still a challenge for crowd analysis. To address this problem, an atrous convolutions spatial pyramid network (ACSPNet) is proposed to perform crowd counts and density maps for both sparse and congested scenarios. Atrous Convolutions sequenced wit...
Saved in:
Main Authors: | Ma, Junjie, Dai, Yaping, Tan, Yap Peng |
---|---|
其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2021
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/151340 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
相似書籍
-
Crowd counting from single images using recursive multi-pathway zooming and foreground enhancement
由: Ma, Junjie, et al.
出版: (2023) -
DEO-Net: joint density estimation and object detection for crowd counting
由: Phan, Duc Tri, et al.
出版: (2024) -
Crowd estimation in images
由: Chen, Kang Ming
出版: (2024) -
Cross-scale generative adversarial network for crowd density estimation from images
由: Zhang, Gaowei, et al.
出版: (2022) -
Multi-resolution attention convolutional neural network for crowd counting
由: Zhang, Youmei, et al.
出版: (2020)