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Publication
157views
8 years 1 months ago
From Semi-Supervised to Transfer Counting of Crowds
Regression-based techniques have shown promising results for people counting in crowded scenes. However, most existing techniques require expensive and laborious data annotation fo...
C. C. Loy, S. Gong, and T. Xiang
CVPR
2013
IEEE
8 years 7 months ago
Cumulative Attribute Space for Age and Crowd Density Estimation
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...

Dataset
1270views
9 years 5 months ago
Mall Dataset
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...
AVSS
2009
IEEE
10 years 9 months ago
Counting People in Groups
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...
Duc Fehr, Ravishankar Sivalingam, Vassilios Morell...
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
12 years 6 months ago
Marked Point Processes for Crowd Counting
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...
Robert T. Collins, Weina Ge
books