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» From Images to Shape Models for Object Detection
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ICIP
2009
IEEE
16 years 7 months ago
Corner-based Background Segmentation Using Adaptive Resonance Theory
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...
IGARSS
2010
15 years 4 months ago
The use of spatial constraints in the derivation of mesoscale sea surface current fields from multi-sensor satellite data
Sequential multi-sensor satellite images are used for the computation of mesoscale surface currents in the Northern and Southern Baltic Proper. Different marine surface films and ...
Benjamin Seppke, Martin Gade, Leonie S. Dreschler-...
CVPR
2011
IEEE
14 years 10 months ago
Boosted Local Structured HOG-LBP for Object Localization
Object localization is a challenging problem due to variations in object’s structure and illumination. Although existing part based models have achieved impressive progress in t...
Junge Zhang, Kaiqi Huang, Tieniu Tan
CLOR
2006
15 years 10 months ago
Object Recognition by Combining Appearance and Geometry
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
CVPR
2008
IEEE
16 years 8 months ago
Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting
Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
George Papandreou, Petros Maragos