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

• المؤلفون الرئيسيون: Zhang, Gaowei, Pan, Yue, Zhang, Limao, Tiong, Robert Lee Kong
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Civil engineering; Generative Adversarial Network; Crowd Density Estimation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161128
• المؤسسة: 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–...