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Proceedings Paper

A novel bag-of-visual-words approach for geospatial object detection
Author(s): Çaglar Aytekin; A. Aydin Alatan
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Paper Abstract

A novel bag-of-visual-words algorithm is presented with two extensions compared to its classical version: exploiting scale information and weighting visual words. The scale information that is already extracted with SIFT detector is included as an additional element to the SIFT key-point descriptor, while the visual words are weighted during histogram assignment proportional to their importance which is measured by the ratio of their occurrences in the object to the occurrences in the background. The algorithm is tested for different geo-spatial object classes and the performance of the classical bag-of-visual-words algorithm is compared against the classical approach. Based on these results, a significant improvement is observed in terms of detection performance.

Paper Details

Date Published: 26 April 2011
PDF: 6 pages
Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550O (26 April 2011); doi: 10.1117/12.883801
Show Author Affiliations
Çaglar Aytekin, Middle East Technical Univ. (Turkey)
A. Aydin Alatan, Middle East Technical Univ. (Turkey)

Published in SPIE Proceedings Vol. 8055:
Optical Pattern Recognition XXII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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