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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 10 — Apr. 1, 2010
  • pp: B1–B8

Adaptive hierarchical architecture for visual recognition

Fok H. C. Tivive, Abdesselam Bouzerdoum, Son Lam Phung, and Khan M. Iftekharuddin  »View Author Affiliations


Applied Optics, Vol. 49, Issue 10, pp. B1-B8 (2010)
http://dx.doi.org/10.1364/AO.49.0000B1


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Abstract

We propose a new hierarchical architecture for visual pattern classification. The new architecture consists of a set of fixed, directional filters and a set of adaptive filters arranged in a cascade structure. The fixed filters are used to extract primitive features such as orientations and edges that are present in a wide range of objects, whereas the adaptive filters can be trained to find complex features that are specific to a given object. Both types of filter are based on the biological mechanism of shunting inhibition. The proposed architecture is applied to two problems: pedestrian detection and car detection. Evaluation results on benchmark data sets demonstrate that the proposed architecture outperforms several existing ones.

© 2010 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(100.3008) Image processing : Image recognition, algorithms and filters

History
Original Manuscript: October 2, 2009
Revised Manuscript: December 18, 2009
Manuscript Accepted: December 26, 2009
Published: January 28, 2010

Virtual Issues
Vol. 5, Iss. 8 Virtual Journal for Biomedical Optics

Citation
Fok H. C. Tivive, Abdesselam Bouzerdoum, Son Lam Phung, and Khan M. Iftekharuddin, "Adaptive hierarchical architecture for visual recognition," Appl. Opt. 49, B1-B8 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-10-B1

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