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...
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Main Authors: | Ma, Junjie, Dai, Yaping, Tan, Yap Peng |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/151340 |
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Institution: | Nanyang Technological University |
Language: | English |
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