Research Output
FPGA implementation of hot spot detection in infrared video.
  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    Conference Paper (unpublished)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:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science


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



FPGA; infrared; object detection; labelling;

Monthly Views:

Available Documents