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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
HCI
2011
13 years 1 months ago
Feature Selection in Crowd Creativity
Crowdsourcing is emerging as a wellspring of creative designs. This paper examines the mechanisms that support collective design. A sequential combination system is described: one ...
Lixiu Yu, Yasuaki Sakamoto
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 8 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
ICPR
2008
IEEE
14 years 4 months ago
Estimating the number of people in a video sequence via geometrical model
We propose a novel technique for estimating the number of people in a video sequence; it has the advantages of being stable even in crowded situations and needing no ground-truth ...
Hiroyuki Arai, Isao Miyagawa, Hideki Koike, Miki H...
SCA
2007
14 years 6 days ago
Controlling individual agents in high-density crowd simulation
Nuria Pelechano, Jan M. Allbeck, Norman I. Badler