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Indoor and Outdoor Crowd Density Level Estimation with Video Analysis through Machine Learning Models
May 14, 2024, 4:11 a.m. | Mahira Arefin, Md. Anwar Hussen Wadud, Anichur Rahman
cs.CR updates on arXiv.org arxiv.org
Abstract: Crowd density level estimation is an essential aspect of crowd safety since it helps to identify areas of probable overcrowding and required conditions. Nowadays, AI systems can help in various sectors. Here for safety purposes or many for public service crowd detection, tracking or estimating crowd level is essential. So we decided to build an AI project to fulfil the purpose. This project can detect crowds from images, videos, or webcams. From these images, videos, …
analysis arxiv aspect can conditions crowd cs.cr identify machine machine learning machine learning models public public service safety sectors service systems video video analysis
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