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CVPR
2011
IEEE
15 years 2 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
PERCOM
2010
ACM
15 years 1 months ago
Detecting activities from body-worn accelerometers via instance-based algorithms
The automatic and unobtrusive identification of user's activities is one of the challenging goals of context-aware computing. This paper discusses and experimentally evaluate...
Nicola Bicocchi, Marco Mamei, Franco Zambonelli
ECCV
2008
Springer
16 years 8 months ago
Learning to Recognize Activities from the Wrong View Point
Appearance features are good at discriminating activities in a fixed view, but behave poorly when aspect is changed. We describe a method to build features that are highly stable u...
Ali Farhadi, Mostafa Kamali Tabrizi
ECCV
1996
Springer
16 years 8 months ago
Self-Calibration from Image Triplets
Abstract. We describe a method for determining a ne and metric calibration of a camera with unchanging internal parameters undergoing planar motion. It is shown that a ne calibrati...
Martin Armstrong, Andrew Zisserman, Richard I. Har...
PCI
2005
Springer
16 years 3 days ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams