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Proceedings Paper

Real-time multi-sensor based vehicle detection using MINACE filters
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Paper Abstract

A system to detect vehicles (cars, trucks etc) in electro-optic (EO) and infrared (IR) imagery is presented. We present the use of the minimum noise and correlation (MINACE) distortion invariant filter (DIF) for this problem. The selection of the MINACE filter parameter c is automated using a training and validation set. A new set of correlation plane post processing methods that improve detection accuracies and reduce false alarms are presented. The system is tested on real life imagery of traffic in parking lots and roads obtained using a multi-sensor EO/IR platform.

Paper Details

Date Published: 9 April 2007
PDF: 8 pages
Proc. SPIE 6574, Optical Pattern Recognition XVIII, 65740I (9 April 2007); doi: 10.1117/12.719649
Show Author Affiliations
Pankaj Topiwala, FastVDO, LLC (United States)
Avinash Nehemiah, FastVDO, LLC (United States)

Published in SPIE Proceedings Vol. 6574:
Optical Pattern Recognition XVIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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