@conference { , title = {FPGA implementation of hot spot detection in infrared video.}, 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.}, conference = {IET Irish Systems \& Signals Conference}, note = {Note: “© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” Conference dates: 2010 June School: sch\_comp}, organization = {Cork}, publicationstatus = {Unpublished}, url = {http://researchrepository.napier.ac.uk/id/eprint/3830}, keyword = {004 Data processing & computer science, QA75 Electronic computers. Computer science, FPGA, infrared, object detection, labelling;}, year = {2024}, author = {Walczyk, Robert and Armitage, Alistair and Binnie, David} }