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» Marked Point Processes for Crowd Counting
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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
14 years 9 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
CVPR
2006
IEEE
14 years 4 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
ICASSP
2008
IEEE
13 years 9 months ago
Automatic Flamingo detection using a multiple birth and death process
Here we present a new approach to automatically detect and count breeding Greater Flamingos (Phoenicopterus Roseus) on aerial photographsof their colonies. We consider a stochasti...
Stig Descamps, Xavier Descombes, Arnaud Bechet, Jo...
DISCEX
2003
IEEE
13 years 7 months ago
NetBouncer: Client-legitimacy-based High-performance DDoS Filtering
We describe "NetBouncer", an approach and set of technologies for providing practical and highperformance defenses against distributed denial-ofservice (DDoS) attacks. T...
Roshan K. Thomas, Brian L. Mark, Tommy Johnson, Ja...