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DAGM
2004
Springer
15 years 9 months ago
Multi-step Entropy Based Sensor Control for Visual Object Tracking
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a ...
Benjamin Deutsch, Matthias Zobel, Joachim Denzler,...
CLOR
2006
15 years 8 months ago
Dataset Issues in Object Recognition
Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances ...
Jean Ponce, Tamara L. Berg, Mark Everingham, David...
ICIP
2005
IEEE
16 years 5 months ago
Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter
We describe an enhanced method for the selection of optimal sensor actions in a probabilistic state estimation framework. We apply this to the selection of optimal focal lengths f...
Benjamin Deutsch, Heinrich Niemann, Joachim Denzle...
DAGM
2008
Springer
15 years 6 months ago
Sliding-Windows for Rapid Object Class Localization: A Parallel Technique
Abstract. This paper presents a fast object class localization framework implemented on a data parallel architecture currently available in recent computers. Our case study, the im...
Christian Wojek, Gyuri Dorkó, André ...
DEBU
2002
97views more  DEBU 2002»
15 years 4 months ago
Towards Increasingly Update Efficient Moving-Object Indexing
Current moving-object indexing concentrates on point-objects capable of continuous movement in one-, two-, and three-dimensional Euclidean spaces, and most approaches are based on...
Christian S. Jensen, Simonas Saltenis