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» Pedestrian Detection in Crowded Scenes
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ICPR
2006
IEEE
14 years 8 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
PAMI
2012
11 years 10 months ago
Pedestrian Detection: An Evaluation of the State of the Art
—Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact quality of life. In recent years, the number of ...
Piotr Dollár, Christian Wojek, Bernt Schiel...
ICRA
2009
IEEE
248views Robotics» more  ICRA 2009»
14 years 2 months ago
Moving obstacle detection in highly dynamic scenes
Abstract— We address the problem of vision-based multiperson tracking in busy pedestrian zones using a stereo rig mounted on a mobile platform. Specifically, we are interested i...
Andreas Ess, Bastian Leibe, Konrad Schindler, Luc ...
ECCV
2006
Springer
14 years 9 months ago
A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint
Occlusion and lack of visibility in dense crowded scenes make it very difficult to track individual people correctly and consistently. This problem is particularly hard to tackle i...
Saad M. Khan, Mubarak Shah
ICRA
2007
IEEE
136views Robotics» more  ICRA 2007»
14 years 1 months ago
Interacting Object Tracking in Crowded Urban Areas
— Tracking in crowded urban areas is a daunting task. High crowdedness causes challenging data association problems. Different motion patterns from a wide variety of moving objec...
Chieh-Chih Wang, Tzu-Chien Lo, Shao-Wen Yang