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FPGA implementation of hot spot detection in infrared video.

Walczyk, Robert; Armitage, Alistair; Binnie, David

Authors

Robert Walczyk

Alistair Armitage

David Binnie



Abstract

This paper describes a Hardware Description Language (HDL) based fully customizable module for real-time infrared (IR) hot spot detection and feature extraction from a video stream. The aim of the research was to investigate and evaluate possible solutions for object detection using connected component labelling that could be implemented within a streaming video embedded processing platform as a hardware accelerator. The proposed algorithm is based on a single-pass approach; this guarantees real-time processing together with very low resource utilisation. The hardware implementation was verifed on a Xilinx XUP V2P (XC2VP30 FPGA) development board with an IR camera module interfaced as a real-time video source. The system was tested with an image resolution of 640 x 480 processing input data at a speed of 30fps which was limited by the bandwidth of the camera.

Presentation Conference Type Conference Paper (unpublished)
Conference Name IET Irish Systems & Signals Conference
Start Date Jun 1, 2010
End Date Jun 1, 2010
Publication Date 2010
Deposit Date Aug 30, 2010
Publicly Available Date Dec 31, 2010
Peer Reviewed Not Peer Reviewed
Keywords FPGA; infrared; object detection; labelling;
Public URL http://researchrepository.napier.ac.uk/id/eprint/3830
Contract Date Aug 30, 2010

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