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DAGM
2009
Springer
15 years 11 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
CVPR
2006
IEEE
16 years 6 months ago
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Jingyu Yan, Marc Pollefeys
164
Voted
ICCV
2007
IEEE
16 years 6 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
VRST
2003
ACM
15 years 9 months ago
Tele-sports and tele-dance: full-body network interaction
Researchers have had great success using motion capture tools for controlling avatars in virtual worlds. Another current of virtual reality research has focused on building collab...
Benjamin Schaeffer, Mark Flider, Hank Kaczmarski, ...
140
Voted
PVLDB
2008
116views more  PVLDB 2008»
15 years 4 months ago
Tighter estimation using bottom k sketches
Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a ...
Edith Cohen, Haim Kaplan