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ROMAN
2007
IEEE
191views Robotics» more  ROMAN 2007»
15 years 7 months ago
Learning and Recognition of Object Manipulation Actions Using Linear and Nonlinear Dimensionality Reduction
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...
Isabel Serrano Vicente, Danica Kragic, Jan-Olof Ek...
WECWIS
2009
IEEE
138views ECommerce» more  WECWIS 2009»
15 years 7 months ago
Modelling Flexible Processes with Business Objects
Mainstream business process modelling techniques promote a design paradigm wherein the activities that may be performed within a case, together with their usual execution order, f...
Guy Redding, Marlon Dumas, Arthur H. M. ter Hofste...
93
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CSUR
2000
136views more  CSUR 2000»
15 years 17 days ago
Pattern density and role modeling of an object transport service
Many object-oriented frameworks exhibit a high density of design pattern applications. Usually, there are more instances in a framework than there are abstract classes. Yet, only ...
Dirk Riehle, Roger Brudermann, Thomas R. Gross, Ka...
IVC
2008
94views more  IVC 2008»
15 years 8 days ago
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three e...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
ICCV
2009
IEEE
16 years 5 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep