Titlebook: Image Analysis and Processing -- ICIAP 2011; 16th International C Giuseppe Maino,Gian Luca Foresti Conference proceedings 2011 Springer-Ver

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A Continuous Learning in a Changing Environmentem. One or more neural nets may no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. For this purpose, we assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition

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Handling Complex Events in Surveillance Tasks and of their complexity is fully detached from low and intermediate image processing level. We focus on context independence and flexibility to allow the reuse of existing approaches on recognition task. We build on existing proposals based on domain knowledge representation through ontologies. We

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A Multiple Component Matching Framework for Person Re-identification research topic in computer vision, for which no reference framework exists yet. Despite this, previous works share similar representations of human body based on part decomposition and the implicit concept of multiple instances. Building on these similarities, we propose a Multiple Component Matchi