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CVPR
2010
IEEE
16 years 2 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
JRTIP
2007
108views more  JRTIP 2007»
15 years 6 months ago
Real-time hardware acceleration of the trace transform
The trace transform is a novel algorithm that has been shown to be effective in a number of image recognition tasks. It is a generalisation of the Radon transform that has been wid...
Suhaib A. Fahmy, Christos-Savvas Bouganis, Peter Y...
JCIT
2010
156views more  JCIT 2010»
15 years 1 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
ICIP
2003
IEEE
16 years 8 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
SSPR
2000
Springer
15 years 10 months ago
A Framework for Classifier Fusion: Is It Still Needed?
We consider the problem and issues of classifier fusion and discuss how they should be reflected in the fusion system architecture. We adopt the Bayesian viewpoint and show how thi...
Josef Kittler