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NIPS
2000
15 years 2 months ago
Learning and Tracking Cyclic Human Motion
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black...
115
Voted
ISVC
2010
Springer
14 years 11 months ago
Combining Automated and Interactive Visual Analysis of Biomechanical Motion Data
Abstract. We present a framework for combining automated and interactive visual analysis techniques for use on high-resolution biomechanical data. Analyzing the complex 3D motion o...
Scott Spurlock, Remco Chang, Xiaoyu Wang, George A...
157
Voted
PSIVT
2007
Springer
354views Multimedia» more  PSIVT 2007»
15 years 7 months ago
Real-Time Hand Gesture Detection and Recognition Using Boosted Classifiers and Active Learning
In this article a robust and real-time hand gesture detection and recognition system for dynamic environments is proposed. The system is based on the use of boosted classifiers for...
Hardy Francke, Javier Ruiz-del-Solar, Rodrigo Vers...
106
Voted
CCIA
2005
Springer
15 years 6 months ago
On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging
IntraVascular UltraSound (IVUS) imaging is a useful tool in diagnosis of cardiac diseases since sequences completely show the morphology of coronary vessels. Vessel borders detecti...
Aura Hernandez, Debora Gil, Petia Radeva
IDA
2003
Springer
15 years 6 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt