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CVPR
2008
IEEE
14 years 10 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICCV
2007
IEEE
14 years 10 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 9 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
TOG
2008
125views more  TOG 2008»
13 years 8 months ago
Factoring repeated content within and among images
We reduce transmission bandwidth and memory space for images by factoring their repeated content. A transform map and a condensed epitome are created such that all image blocks ca...
Huamin Wang, Yonatan Wexler, Eyal Ofek, Hugues Hop...
ICRA
2003
IEEE
163views Robotics» more  ICRA 2003»
14 years 1 months ago
An experimental study of hybrid switched system approaches to visual servoing
Abstract— In the recent past, many researchers have developed control algorithms for visual servo applications. In this paper, we introduce a new hybrid switched system approach,...
Nicholas R. Gans, Seth Hutchinson