FPGA implementation of hot spot detection in infrared video.

Research Output

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.

Type:

Conference Paper (unpublished)
Date:

01 June 2010
Publication Status:

Unpublished
Library of Congress:

QA75 Electronic computers. Computer science
Dewey Decimal Classification:

004 Data processing & computer science

http://researchrepository.napier.ac.uk/output/216275 <p>Walczyk, R., Armitage, A., & Binnie, D. (2010, June). <i>FPGA implementation of hot spot detection in infrared video</i>. Paper presented at IET Irish Systems & Signals Conference, Cork</p>

Citation

Walczyk, R., Armitage, A., & Binnie, D. (2010, June). FPGA implementation of hot spot detection in infrared video. Paper presented at IET Irish Systems & Signals Conference, Cork