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» Tracking Large Variable Numbers of Objects in Clutter
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ICIG
2009
IEEE
13 years 5 months ago
Illumination Invariant Object Tracking with Incremental Subspace Learning
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
Gang Yu, Hongtao Lu
EMMCVPR
2001
Springer
14 years 6 days ago
Articulated Object Tracking via a Genetic Algorithm
Within a human motion analysis system, body parts are modeled by simple virtual 3D rigid objects. Its position and orientation parameters at frame t + 1 are estimated based on the ...
Jairo Rocha, Arnau Mir
CVPR
2004
IEEE
14 years 9 months ago
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
WACV
2005
IEEE
14 years 1 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
ICPR
2010
IEEE
13 years 7 months ago
Optimization of Target Objects for Natural Feature Tracking
— This paper investigates possible physical alterations of tracking targets to obtain improved 6DoF pose detection for a camera observing the known targets. We explore the influe...
Lukas Gruber, Stefanie Zollmann, Daniel Wagner, Di...