CrowdGAN: Identity-free interactive crowd video generation and beyond

• Main Authors: CHAI, Liangyu, LIU, Yongtuo, LIU, Wenxi, HAN, Guoqiang, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Trajectory; Task analysis; Three-dimensional displays; Predictive models; Analytical models; Uncertainty; Solid modeling; Crowd video generation; data augmentation; crowd analysis; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7849
• Institution: Singapore Management University

In this paper, we introduce a novel yet challenging research problem, interactive crowd video generation, committed to producing diverse and continuous crowd video, and relieving the difficulty of insufficient annotated real-world datasets in crowd analysis. Our goal is to recursively generate reali...