Cross-scale generative adversarial network for crowd density estimation from images

• Main Authors: Zhang, Gaowei, Pan, Yue, Zhang, Limao, Tiong, Robert Lee Kong
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Generative Adversarial Network; Crowd Density Estimation
• Online Access: https://hdl.handle.net/10356/161128
• Institution: Nanyang Technological University

This research develops a cross-scale convolutional spatial generative adversarial network (CSGAN), in order to estimate the crowd density from images accurately. It consists of two similar generators, one for the whole feature extraction, and the other for patch scale feature extraction. An encoder–...