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» A Probabilistic Background Model for Tracking
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FGR
2000
IEEE
162views Biometrics» more  FGR 2000»
15 years 1 months ago
Person Tracking in Real-World Scenarios Using Statistical Methods
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...
ICIP
1999
IEEE
15 years 11 months ago
Video Motion Capture Using Feature Tracking and Skeleton Reconstruction
In the domain of computer vision, there exists a very wide application for the research of human motion capture. This paper proposes a new approach to do motion capture in video. ...
Xiaoming Liu 0002, Yueting Zhuang, Yunhe Pan
ICCV
2007
IEEE
15 years 4 months ago
Real Time Body Pose Tracking in an Immersive Training Environment
Abstract. We describe a visual communication application for a dark, theaterlike interactive virtual simulation training environment. Our system visually estimates and tracks the b...
Chi-Wei Chu, Ramakant Nevatia
CLEF
2007
Springer
15 years 4 months ago
The Domain-Specific Track at CLEF 2007
The domain-specific track uses test collections from the social science domain to test monolingual and cross-language retrieval in structured bibliographic databases. Special atte...
Vivien Petras, Stefan Baerisch, Maximilian Stempfh...
ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
15 years 3 months ago
A New Approach to the Use of Edge Extremities for Model-based Object Tracking
— This paper presents a robust model-based visual tracking algorithm that can give accurate 3D pose of a rigid object. Our tracking algorithm uses an incremental pose update sche...
Youngrock Yoon, Akio Kosaka, Jae Byung Park, Avina...