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Detecting windows in city scenes

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Author

  • Björn Johansson
  • Fredrik Kahl

Summary, in English

In this paper we present an object detection system for city environments. We focus on the problem of automatically detecting windows on buildings. Several possible applications for the detection system are given, such as recognition of buildings, pose estimation, rectification and 3D reconstruction. Experimental validations on real images are also provided. The system is capable of detecting windows in images at several different orientations and scales. The approach is based on learning from examples using support vector machines. Since the system is trainable, the extension to detect other objects in the scene is straightforward. The performance of the system has been evaluated on an independent training set and the results show that the object category "window" can be reliably detected under various poses and lighting conditions.

Publishing year

2002

Language

English

Pages

388-396

Publication/Series

Pattern Recognition with Support Vector Machines. First International Workshop, SVM 2002. Proceedings (Lecture Notes in Computer Science Vol.2388)

Volume

2388

Document type

Conference paper

Publisher

Springer

Topic

  • Mathematics

Conference name

Pattern Recognition with Support Vector Machines. First International Workshop, SVM 2002

Conference date

2002-08-10

Conference place

Niagara Falls, Ont., Canada

Status

Published

ISBN/ISSN/Other

  • ISSN: 0302-9743
  • ISSN: 1611-3349
  • ISBN: 3-540-44016-X