Pedestrian Density Estimation

Pedestrian density estimation is an important task in the field of computer vision, aiming to accurately estimate the distribution density of pedestrians in a scene through image or video data captured by cameras. The goal of this task is to develop efficient and precise algorithms to monitor and analyze crowd gathering situations in real-time, providing critical data support for urban traffic management, public safety surveillance, and commercial area pedestrian flow analysis, among other application scenarios.