Deep Learning-Based Crowd Density Estimation: Robust Models and Generalization
Keywords:
Crowd Density Estimation, Video Analysis, Density Assessment, Public Safety, Crowd Behavior Analysis, Crowd Tracking, Intelligent Surveillance, Deep Neural.Abstract
Accurate estimation of crowd density is a key problem in the field of computer vision, which has awide range of applications in the field of public security, urban planning, and intelligent surveillance systems. In this paper, a robust deep learning-based crowd density estimation framework
References
Chen, K., Loy, C.C., Gong, S., Xiang, T.: Feature mining for localised crowd counting. 1(2), 3 (2012)
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Published
2024-12-20
How to Cite
Himanshu Singh , Vineet Singh, Abhay Shukla, Indrajeet Gupta. (2024). Deep Learning-Based Crowd Density Estimation: Robust Models and Generalization . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8478–8485. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5348
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