Object Detection Using the Statistics of Parts

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Recent studies have argued that natural vision systems perform classification by utilizing different mechanisms depending on the visual input. In this paper we present a hybrid, data-driven object detection system that combines parts-based matching and view-based attention for faster detection. We propose a simple competitive policy that allows incremental addition of new object classes to the ...

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ژورنال

عنوان ژورنال: International Journal of Computer Vision

سال: 2004

ISSN: 0920-5691

DOI: 10.1023/b:visi.0000011202.85607.00