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» Robust Lane Detection and Tracking in Challenging Scenarios
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MVA
2007
230views Computer Vision» more  MVA 2007»
13 years 7 months ago
A Rear Vehicle Location Algorithm for Lane Change Assist
A monocular vision based location algorithm is presented to detect and track rear vehicles for lane change assist. The algorithm uses the shadow underneath the vehicle to extract ...
Wei Liu, Chunyan Song, Pengyu Fu, Nan Wang, Huai Y...
ICPR
2010
IEEE
13 years 11 months ago
Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios
Shadow detection and removal is an important step employed after foreground detection, in order to improve the segmentation of objects for tracking. Methods reported in the litera...
Andres Sanin, Conrad Sanderson, Brian Carrington L...
PRL
2006
148views more  PRL 2006»
13 years 5 months ago
An agent based evolutionary approach to path detection for off-road vehicle guidance
This paper describes an ant colony optimization approach adopted to decide on road-borders to automatically guide a vehicle developed for the DARPA Grand Challenge 2004, available...
Alberto Broggi, Stefano Cattani
ICCV
2011
IEEE
12 years 5 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
ISBI
2008
IEEE
14 years 6 months ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering