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IGARSS
2009
13 years 4 months ago
Robust Endmember Extraction in the Presence of Anomalies
Most available methods for endmember extraction use the convexity of the data structure and consider the vertices of the data as the purest pixels. Such methods do not consider th...
Olga Duran, Maria Petrou
ICRA
2009
IEEE
210views Robotics» more  ICRA 2009»
13 years 4 months ago
An adaptive-scale robust estimator for motion estimation
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
MVA
2002
215views Computer Vision» more  MVA 2002»
13 years 6 months ago
Robust Tracking Algorithm Based on Color and Edge Distribution for Real-time Video Based Motion Capture Systems
This paper describes a robust tracking algorithm for real-time, video based motion capture systems. Conventional motion capture systems are unable to capture motion data in real t...
Yoshiaki Akazawa, Yoshihiro Okada, Koichi Niijima
ICASSP
2010
IEEE
13 years 7 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
CVPR
2012
IEEE
11 years 9 months ago
Robust object tracking via sparsity-based collaborative model
In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic appearance change, we ...
Wei Zhong, Huchuan Lu, Ming-Hsuan Yang