A lightweight approach to crowd density estimation: leveraging network pruning for model compression

• Main Author: Lye, Jin Kai
• Other Authors: Cham Tat Jen
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2025
• Subjects: Computer and Information Science; Computer vision; Crowd density estimation; Model compression; Network pruning; Convolutional neural networks (CNN); Machine learning; Artificial intelligence; Lightweight models
• Online Access: https://hdl.handle.net/10356/183767

Crowd density estimation is crucial for public safety, event management, and urban planning, particularly in high-density environments such as sports events, concerts, and transportation hubs. Traditional methods, including manual counting and statistical modeling, are often inefficient and error pr...