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» Finding and Tracking People from the Bottom Up
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CVPR
2008
IEEE
14 years 9 months 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
ACCV
2006
Springer
14 years 1 months ago
Matching Gait Image Sequences in the Frequency Domain for Tracking People at a Distance
This paper describes a new method to track people walking by matching their gait image sequences in the frequency domain. When a person walks at a distance from a camera, that pers...
Ryusuke Sagawa, Yasushi Makihara, Tomio Echigo, Ya...
ICCV
2001
IEEE
14 years 9 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
PAMI
2007
245views more  PAMI 2007»
13 years 7 months ago
Tracking People by Learning Their Appearance
—An open vision problem is to automatically track the articulations of people from a video sequence. This problem is difficult because one needs to determine both the number of p...
Deva Ramanan, David A. Forsyth, Andrew Zisserman
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