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» Online Selection of Tracking Features using AdaBoost
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ACCV
2010
Springer
14 years 4 months ago
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
Steve Gu, Ying Zheng, Carlo Tomasi
ICPR
2004
IEEE
15 years 10 months ago
Online Appearance-Based Face and Facial Feature Tracking
We propose a simple framework that utilizes online appearance models for 3D face and facial feature tracking with a deformable model. Adapting the geometrical parameters for each ...
Fadi Dornaika, Franck Davoine
PG
2002
IEEE
15 years 2 months ago
Combining 2D Feature Tracking and Volume Reconstruction for Online Video-Based Human Motion Capture
The acquisition of human motion data is of major importance for creating interactive virtual environments, intelligent user interfaces, and realistic computer animations. Today’...
Christian Theobalt, Marcus A. Magnor, Pascal Sch&u...
ICML
2005
IEEE
15 years 10 months ago
Online feature selection for pixel classification
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
Karen A. Glocer, Damian Eads, James Theiler
ICIP
2007
IEEE
15 years 3 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...