FPGA implementation of hot spot detection in infrared video.

Walczyk, Robert; Armitage, Alistair; Binnie, David

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.

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

• Presentation Conference Type: Conference Paper (unpublished)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• Peer Reviewed: Not Peer Reviewed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