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

Pankaj Topiwala; Avinash Nehemiah

doi:10.1117/12.719649

9 April 2007 Real-time multi-sensor based vehicle detection using MINACE filters

Pankaj Topiwala; Avinash Nehemiah

Author Affiliations +

Proceedings Volume 6574, Optical Pattern Recognition XVIII; 65740I (2007) https://doi.org/10.1117/12.719649
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Pankaj Topiwala, Avinash Nehemiah, "Real-time multi-sensor based vehicle detection using MINACE filters", Proc. SPIE 6574, Optical Pattern Recognition XVIII, 65740I (9 April 2007); doi: 10.1117/12.719649; https://doi.org/10.1117/12.719649

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