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Segmentation techniques for extracting humans from thermal images

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dc.contributor.author Dickens, JS
dc.contributor.author Green, JJ
dc.date.accessioned 2012-02-08T08:21:07Z
dc.date.available 2012-02-08T08:21:07Z
dc.date.issued 2011-11
dc.identifier.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 en_US
dc.identifier.isbn 978-0-620-51897-0
dc.identifier.uri http://hdl.handle.net/10204/5553
dc.description 4th Robotics & Mechatronics Conference of South Africa, CSIR International Convention Centre, CSIR, Pretoria, South Africa, 23-25 November 2011 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher RobMech en_US
dc.relation.ispartofseries Workflow;8045
dc.subject Underground mine vehicles en_US
dc.subject Pedestrian detection system en_US
dc.subject Mine thermal images en_US
dc.subject Underground mine tunnels en_US
dc.subject Thermal imaging en_US
dc.subject Pedestrian detection en_US
dc.subject Thresholding en_US
dc.title Segmentation techniques for extracting humans from thermal images en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Dickens, J., & Green, J. (2011). Segmentation techniques for extracting humans from thermal images. RobMech. http://hdl.handle.net/10204/5553 en_ZA
dc.identifier.chicagocitation Dickens, JS, and JJ Green. "Segmentation techniques for extracting humans from thermal images." (2011): http://hdl.handle.net/10204/5553 en_ZA
dc.identifier.vancouvercitation Dickens J, Green J, Segmentation techniques for extracting humans from thermal images; RobMech; 2011. http://hdl.handle.net/10204/5553 . en_ZA
dc.identifier.ris 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 - en_ZA


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