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ICCV
2007
IEEE
15 years 11 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, ...
ICIP
2005
IEEE
15 years 11 months ago
A model free hybrid algorithm for real time tracking
Robustness and accuracy are major issues in real-time tracking. This paper describes a reliable tracking for markerless planar objects based on the fusion of visual cues and on th...
Éric Marchand, Muriel Pressigout
ECCV
2002
Springer
15 years 11 months ago
Fusion of Multiple Tracking Algorithms for Robust People Tracking
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...
Nils T. Siebel, Stephen J. Maybank
ICIP
2006
IEEE
15 years 11 months ago
Stereo Tracking and Three-Point/One-Point Algorithms - A Robust Approach in Visual Odometry
In this paper, we present an approach of calculating visual odometry for outdoor robots equipped with a stereo rig. Instead of the typical feature matching or tracking, we use an ...
Kai Ni, Frank Dellaert
ICMCS
2007
IEEE
195views Multimedia» more  ICMCS 2007»
15 years 3 months ago
Robust People Detection and Tracking in a Multi-Camera Indoor Visual Surveillance System
In this paper we describe the analysis component of an indoor, real-time, multi-camera surveillance system. The analysis includes: (1) a novel feature-level foreground segmentatio...
Tao Yang, Francine Chen, Don Kimber, Jim Vaughan