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ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
15 years 20 days ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling
CVPR
2005
IEEE
14 years 9 months ago
Spatiograms versus Histograms for Region-Based Tracking
We introduce the concept of a spatiogram, which is a generalization of a histogram that includes potentially higher order moments. A histogram is a zeroth-order spatiogram, while ...
Stan Birchfield, Sriram Rangarajan
CVPR
2005
IEEE
14 years 9 months ago
Vehicle Segmentation and Tracking from a Low-Angle Off-Axis Camera
We present a novel method for visually monitoring a highway when the camera is relatively low to the ground and on the side of the road. In such a case, occlusion and the perspect...
Neeraj K. Kanhere, Shrinivas J. Pundlik, Stan Birc...
CVPR
2008
IEEE
14 years 9 months ago
Joint tracking of features and edges
Sparse features have traditionally been tracked from frame to frame independently of one another. We propose a framework in which features are tracked jointly. Combining ideas fro...
Stanley T. Birchfield, Shrinivas J. Pundlik
ICCV
2001
IEEE
14 years 9 months ago
Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy
In this paper we propose a novel inhomogeneous Gibbs model by the minimax entropy principle, and apply it to face modeling. The maximum entropy principle generalizes the statistic...
Ce Liu, Song Chun Zhu, Heung-Yeung Shum