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

• المؤلف الرئيسي: Lye, Jin Kai
• مؤلفون آخرون: Cham Tat Jen
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2025
• الموضوعات: Computer and Information Science; Computer vision; Crowd density estimation; Model compression; Network pruning; Convolutional neural networks (CNN); Machine learning; Artificial intelligence; Lightweight models
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/183767
• المؤسسة: Nanyang Technological University

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...