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» Multimodal People Detection and Tracking in Crowded Scenes
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AVSS
2009
IEEE
14 years 7 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...

Publication
815views
14 years 5 months ago
Activity Understanding and Unusual Event Detection in Surveillance Videos
Computer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems. As video surveillance cameras ...
Chen Change Loy
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 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
IROS
2009
IEEE
151views Robotics» more  IROS 2009»
15 years 4 months ago
Simultaneous people tracking and localization for social robots using external laser range finders
—Robust localization of robots and reliable tracking of people are both critical requirements for the deployment of service robots in real-world environments. In crowded public s...
Dylan F. Glas, Takayuki Kanda, Hiroshi Ishiguro, N...
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
15 years 1 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong