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Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)
Automatic Parameter Regulation for a Tracking System with an Auto-Critical Function
Palermo, Italy
July 04-July 06
ISBN: 0-7695-2255-6
Daniela Hall, INRIA
In this article we propose an architecture of a tracking system that can judge its own performance by an auto-critical function. Performance drops can be detected which trigger an automatic parameter regulation module. This regulation module is an expert system that searches a parameter setting with better performance and returns it to the tracking system. With such an architecture, a robust tracking system can be implemented which automatically adapts its parameters in case of changes in the environmental conditions. This article opens a way to self-adaptive systems in detection and recognition.
Citation:
Daniela Hall, "Automatic Parameter Regulation for a Tracking System with an Auto-Critical Function," camp, pp.39-45, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005
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