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ICCCN
2007
IEEE
13 years 9 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
CVPR
1997
IEEE
14 years 1 months ago
Feature Tracking from an Image Sequence Using Geometric Invariants
In this paper two new feature tracking algorithms are proposed. In the first algorithm, a perspective camera model is used. Making use of the projective inuariant of Barrett, and ...
Hung-Tat Tsui, Zhong-Ying Zhang, Shao-Hua Kong
ICCV
2001
IEEE
14 years 11 months ago
Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination
We develop an efficient algorithm to track point features supported by image patches undergoing affine deformations and changes in illumination. The algorithm is based on a combin...
Hailin Jin, Paolo Favaro, Stefano Soatto
CVPR
2005
IEEE
14 years 11 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
VR
2008
IEEE
277views Virtual Reality» more  VR 2008»
13 years 8 months ago
Hybrid Feature Tracking and User Interaction for Markerless Augmented Reality
We describe a novel markerless camera tracking approach and user interaction methodology for augmented reality (AR) on unprepared tabletop environments. We propose a real-time sys...
Taehee Lee 0002, Tobias Höllerer