FPGA implementation of hot spot detection in infrared video.
Walczyk, Robert; Armitage, Alistair; Binnie, David
Dr David Binnie D.Binnie@napier.ac.uk
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.
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|Presentation Conference Type||Conference Paper (unpublished)|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|
|Deposit Date||Aug 30, 2010|
|Publicly Available Date||Dec 31, 2010|
|Peer Reviewed||Not Peer Reviewed|
|Keywords||FPGA; infrared; object detection; labelling;|
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