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ICPR
2000
IEEE
14 years 6 months ago
Tracking Humans from a Moving Platform
Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...
ICRA
2009
IEEE
248views Robotics» more  ICRA 2009»
13 years 12 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 ...
ICCV
2005
IEEE
13 years 11 months ago
A Model-Based Vehicle Segmentation Method for Tracking
Our goal is to detect and track moving vehicles on a road observed from cameras placed on poles or buildings. Inter-vehicle occlusion is significant under these conditions and tra...
Xuefeng Song, Ramakant Nevatia
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
15 years 13 days ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
CVPR
2009
IEEE
15 years 13 days ago
Pedestrian Detection: A Benchmark
Pedestrian detection is a key problem in computer vision, with several applications including robotics, surveillance and automotive safety. Much of the progress of the past few ...
Bernt Schiele, Christian Wojek, Pietro Perona, Pio...