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» Object Tracking by Adaptive Modeling
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139
Voted
CVPR
2010
IEEE
15 years 11 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
144
Voted
SPIN
2004
Springer
15 years 8 months ago
Model-Driven Software Verification
Abstract. In the classic approach to logic model checking, software verification requires a manually constructed artifact (the model) to be written in the language that is accepted...
Gerard J. Holzmann, Rajeev Joshi
ICPR
2008
IEEE
15 years 10 months ago
Back to the future: Robust foreground extraction with reversed-time background modeling
“Ghosts” arise in traditional background subtraction when an object starts to move, causing the exposed background to be labelled as a ghost foreground. With background model ...
Akhilesh Kumar Sinha, Prithwijit Guha, Amitabha Mu...
151
Voted
ECCV
2006
Springer
15 years 7 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
172
Voted
CGI
1998
IEEE
15 years 7 months ago
Automatic 3D Model Acquisition from Uncalibrated Image Sequences
In this paper the problem of obtaining 3D models from image sequences is addressed. The proposed method deals with uncalibrated monocular image sequences. No prior knowledge about...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool