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» Deformable Object Tracking Using the Boundary Element Method
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ICIP
2005
IEEE
14 years 9 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
EWC
2002
90views more  EWC 2002»
13 years 7 months ago
An Efficient Adaptive Procedure for Three-Dimensional Fragmentation Simulations
We present a simple set of data structures, and a collection of methods for constructing and updating the structures, designed to support the use of cohesive elements in simulation...
Anna Pandolfi, Michael Ortiz
ICIAR
2005
Springer
14 years 25 days ago
A Generic Shape Matching with Anchoring of Knowledge Primitives of Object Ontology
We have developed a generic ontology of objects, and a knowledge base of everyday physical objects. Objects are represented as assemblies of functional features and their spatial r...
Dongil Han, Bum-Jae You, Yong Se Kim, Il Hong Suh
CAIP
1995
Springer
137views Image Analysis» more  CAIP 1995»
13 years 11 months ago
Extending the Point Distribution Model Using Polar Coordinates
The Point Distribution Model (PDM) has already proved useful for many tasks involving the location or tracking of deformable objects. A principal limitation lies in the fact that n...
Tony Heap, David Hogg
SCVMA
2004
Springer
14 years 23 days ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy