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Proceedings Paper

Vehicle detection using multimodal imaging sensors from a moving platform
Author(s): Christopher N. Dickson; Andrew M. Wallace; Matthew Kitchin; Barry Connor
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Paper Abstract

A modular vehicle detection system, using a two-stage hypothesis generation (HG) and hypothesis combination (HC) approach is presented. The HG stage consists of a set of simple algorithms which parse multi-modal data and provide a set of possible vehicle locations. These hypotheses are subsequently fused in a combination stage. This modular design allows the system to utilise additional modalities where available, and the combination of multiple information sources is shown to reduce false positive detections. The system uses Thales' high-resolution long wave infrared polarimeter and a four-band visible/near infrared multispectral system. Vehicle cues are taken from motion ow vectors, thermal intensity hot spots, and regions with a locally high degree of linear polarisation. Results using image sequences gathered from a moving vehicle are shown, and the performance of the system is assessed with Receiver Operator Characteristics.

Paper Details

Date Published: 24 October 2012
PDF: 11 pages
Proc. SPIE 8541, Electro-Optical and Infrared Systems: Technology and Applications IX, 854112 (24 October 2012); doi: 10.1117/12.971464
Show Author Affiliations
Christopher N. Dickson, Heriot-Watt Univ. (United Kingdom)
Thales UK (United Kingdom)
Andrew M. Wallace, Heriot-Watt Univ. (United Kingdom)
Matthew Kitchin, Thales UK (United Kingdom)
Barry Connor, Thales UK (United Kingdom)

Published in SPIE Proceedings Vol. 8541:
Electro-Optical and Infrared Systems: Technology and Applications IX
David A. Huckridge; Reinhard R. Ebert, Editor(s)

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