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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
15 years 4 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
ICPR
2006
IEEE
14 years 11 months ago
A Viewpoint Invariant Approach for Crowd Counting
This paper describes a viewpoint invariant learningbased method for counting people in crowds from a single camera. Our method takes into account feature normalization to deal wit...
Dan Kong, Douglas Gray, Hai Tao
GAMEON
2003
13 years 11 months ago
Automatic Acquisition of Actions for Animated Agents
The generation of animated human figures especially in crowd scenes has many applications in such domains as the special effects industry, computer games or for the simulation of ...
Adam Szarowicz, Marek Mittmann, Paolo Remagnino, J...
ATAL
2008
Springer
13 years 11 months ago
Being a part of the crowd: towards validating VR crowds using presence
Crowd simulation models are currently lacking a commonly accepted validation method. In this paper, we propose level of presence achieved by a human in a virtual environment (VE) ...
Nuria Pelechano, Catherine Stocker, Jan M. Allbeck...
ICCV
2009
IEEE
13 years 7 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos