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  Efficient Subwindow Search for Object Localization

Blaschko, M., Hofmann, T., & Lampert, C.(2007). Efficient Subwindow Search for Object Localization (164). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-CC4D-A Version Permalink: http://hdl.handle.net/21.11116/0000-0002-8759-2
Genre: Report

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MPIK-TR-164.pdf (Publisher version), 8MB
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 Creators:
Blaschko, MB1, 2, Author              
Hofmann, T, Author              
Lampert, CH1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Recent years have seen huge advances in object recognition from images. Recognition rates beyond 95 are the rule rather than the exception on many datasets. However, most state-of-the-art methods can only decide if an object is present or not. They are not able to provide information on the object location or extent within in the image. We report on a simple yet powerful scheme that extends many existing recognition methods to also perform localization of object bounding boxes. This is achieved by maximizing the classification score over all possible subrectangles in the image. Despite the impression that this would be computationally intractable, we show that in many situations efficient algorithms exist which solve a generalized maximum subrectangle problem. We show how our method is applicable to a variety object detection frameworks and demonstrate its performance by applying it to the popular bag of visual words model, achieving competitive results on the PASCAL VOC 2006 dataset.

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 Dates: 2007-08
 Publication Status: Published in print
 Pages: 14
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 164
BibTex Citekey: 4746
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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 164 Sequence Number: - Start / End Page: - Identifier: -