Multi-source Multi-scale Counting in Extremely Dense Crowd Images

CVPR 2013 Haroon IdreesImran SaleemiCody SeibertMubarak Shah

We propose to leverage multiple sources of information to compute an estimate of the number of individuals present in an extremely dense crowd visible in a single image. Due to problems including perspective, occlusion, clutter, and few pixels per person, counting by human detection in such images is almost impossible... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Crowd Counting UCF CC 50 Idrees et al. MAE 419.5 # 15
Crowd Counting UCF-QNRF Idrees et al. MAE 315 # 10

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