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CVPR
2008
IEEE
15 years 23 days ago
Homography based multiple camera detection and tracking of people in a dense crowd
Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In this paper ...
Ran Eshel, Yael Moses
ECCV
2006
Springer
15 years 19 days 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
IJCV
2010
362views more  IJCV 2010»
13 years 9 months ago
Tracking in a Dense Crowd Using Multiple Cameras
Abstract Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In th...
Ran Eshel, Yael Moses
CVIU
2007
174views more  CVIU 2007»
13 years 10 months ago
Laser-based detection and tracking of multiple people in crowds
Laser-based people tracking systems have been developed for mobile robotic, and intelligent surveillance areas. Existing systems rely on laser point clustering method to extract o...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...
AAAI
2008
14 years 1 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart