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» Algorithmic Fusion for More Robust Feature Tracking
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ICCV
2011
IEEE
13 years 9 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan
ECCV
1998
Springer
15 years 11 months ago
Object Oriented Motion Estimation in Color Image Sequences
Abstract. This paper describes a color region-based approach to motion estimation in color image sequences. The system is intended for robotic and vehicle guidance applications whe...
Volker Rehrmann
ICASSP
2008
IEEE
15 years 4 months ago
A normalized adaptation scheme for the convex combination of two adaptive filters
Adaptive filtering schemes are subject to different tradeoffs regarding their steady-state misadjustment, speed of convergence and tracking performance. To alleviate these comp...
Luis Antonio Azpicueta-Ruiz, Aníbal R. Figu...
GECCO
2003
Springer
15 years 3 months ago
Methods for Evolving Robust Programs
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
Liviu Panait, Sean Luke
MVA
2007
230views Computer Vision» more  MVA 2007»
14 years 11 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...