Dickens, JSGreen, JJ2012-02-082012-02-082011-11Dickens, 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 2011978-0-620-51897-0http://hdl.handle.net/10204/55534th Robotics & Mechatronics Conference of South Africa, CSIR International Convention Centre, CSIR, Pretoria, South Africa, 23-25 November 2011A 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.enUnderground mine vehiclesPedestrian detection systemMine thermal imagesUnderground mine tunnelsThermal imagingPedestrian detectionThresholdingSegmentation techniques for extracting humans from thermal imagesConference PresentationDickens, J., & Green, J. (2011). Segmentation techniques for extracting humans from thermal images. RobMech. http://hdl.handle.net/10204/5553Dickens, JS, and JJ Green. "Segmentation techniques for extracting humans from thermal images." (2011): http://hdl.handle.net/10204/5553Dickens J, Green J, Segmentation techniques for extracting humans from thermal images; RobMech; 2011. http://hdl.handle.net/10204/5553 .TY - Conference Presentation AU - Dickens, JS AU - Green, JJ AB - 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. DA - 2011-11 DB - ResearchSpace DP - CSIR KW - Underground mine vehicles KW - Pedestrian detection system KW - Mine thermal images KW - Underground mine tunnels KW - Thermal imaging KW - Pedestrian detection KW - Thresholding LK - https://researchspace.csir.co.za PY - 2011 SM - 978-0-620-51897-0 T1 - Segmentation techniques for extracting humans from thermal images TI - Segmentation techniques for extracting humans from thermal images UR - http://hdl.handle.net/10204/5553 ER -