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» Robust Occlusion Handling in Object Tracking
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ICRA
2006
IEEE
109views Robotics» more  ICRA 2006»
14 years 1 months ago
Robust Statistics for 3D Object Tracking
Abstract— This paper focuses on methods that enhance performance of a model based 3D object tracking system. Three statistical methods and an improved edge detector are discussed...
Peter Preisig, Danica Kragic
ECCV
2002
Springer
14 years 9 months ago
Color-Based Probabilistic Tracking
Color-based trackers recently proposed in [3,4,5] have been proved robust and versatile for a modest computational cost. They are especially appealing for tracking tasks where the ...
Carine Hue, Jaco Vermaak, Michel Gangnet, Patrick ...
ICCV
2005
IEEE
14 years 1 months ago
Bi-Directional Tracking Using Trajectory Segment Analysis
In this paper, we present a novel approach to keyframe-based tracking, called bi-directional tracking. Given two object templates in the beginning and ending keyframes, the bi-dire...
Jian Sun, Weiwei Zhang, Xiaoou Tang, Heung-Yeung S...
IBPRIA
2007
Springer
14 years 1 months ago
Robust Multiple-People Tracking Using Colour-Based Particle Filters
Robust and accurate people tracking is a key task in many promising computer-vision applications. One must deal with non-rigid targets in open-world scenarios, whose shape and appe...
Daniel Rowe, Ivan Huerta Casado, Jordi Gonzà...
ICASSP
2011
IEEE
12 years 11 months ago
Random finite set for data association in multiple camera tracking
Most methods for multiple camera tracking rely on accurate calibration to associate data from multiple cameras. However, it often is not easy to have an accurate calibration in so...
Nam Trung Pham, Richard Chang, Karianto Leman, Tec...