Regression-based techniques have shown promising results for people counting in crowded scenes. However, most existing techniques require expensive and laborious data annotation fo...
A number of computer vision problems such as human age estimation, crowd density estimation and body/face pose (view angle) estimation can be formulated as a regression problem by ...
Ke Chen, Shaogang Gong, Tao Xiang, and Chen Change...
The mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research.
Ground truth: Over 60,000 pedestrians were labelled in 2000 video fra...
Abstract--Cameras are becoming a common tool for automated vision purposes due to their low cost. In an era of growing security concerns, camera surveillance systems have become no...
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...