2026
Adapting Lightweight Image-based Counting Models for Video Crowd Counting
CVPR 2026
Video crowd counting aims to predict the people count in each frame of a video. It requires effectively leveraging spatio-temporal (ST) information in videos while satisfying real-time constraints. However, most existing methods use ST information from neighboring frames through auxiliary extraction