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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5553

Title: Segmentation techniques for extracting humans from thermal images
Authors: Dickens, JS
Green, JJ
Keywords: Underground mine vehicles
Pedestrian detection system
Mine thermal images
Underground mine tunnels
Thermal imaging
Pedestrian detection
Thresholding
Issue Date: Nov-2011
Publisher: RobMech
Citation: Dickens, JS and Green, JJ. Segmentation techniques for extracting humans from thermal images. 4th Robotics & Mechatronics Conference of South Africa, CSIR International Convention Centre, CSIR, Pretoria, South Africa, 23-25 November 2011
Series/Report no.: Workflow;8045
Abstract: A pedestrian detection system for underground mine vehicles is being developed that requires the segmentation of people from thermal images in underground mine tunnels. A number of thresholding techniques are outlined and their performance on a number of thermal images is investigated. The thresholding techniques are evaluated on images in various ambient conditions and it is shown that a minimum error thresholding technique is the most effective.
Description: 4th Robotics & Mechatronics Conference of South Africa, CSIR International Convention Centre, CSIR, Pretoria, South Africa, 23-25 November 2011
URI: http://hdl.handle.net/10204/5553
ISBN: 978-0-620-51897-0
Appears in Collections:Mining and geoscience
Sensor science and technology
General science, engineering & technology

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