Fast road detection and tracking in aerial videos Zhou,H, Kong,H, Alvarez,J, Creighton,D and Nahavandi,S 2014, Fast road detection and tracking in aerial videos, in Proceedings of 25th Intelligent Vehicles Symposium; IEEE, 2014, IEEE, Piscataway, NJ, pp. 712-718, doi: 10.1109/IVS.2014.6856523. Attached Files Name Description MIMEType Size Downloads Title Fast road detection and tracking in aerial videos Author(s) Zhou,H orcid.org/0000-0001-5009-4330 Kong,H Alvarez,J Creighton,D orcid.org/0000-0002-9217-1231 Nahavandi,S orcid.org/0000-0002-0360-5270 Conference name Intelligent Vehicles. Symposium (25th: 2014: Dearborn, Michigan) Conference location Dearborn, MI Conference dates 2014/6/8 - 2014/6/11 Title of proceedings Proceedings of 25th Intelligent Vehicles Symposium; IEEE, 2014 Editor(s) [Unknown] Publication date 2014 Conference series Intelligent Vehicles Symposium Start page 712 End page 718 Total pages 6 Publisher IEEE Place of publication Piscataway, NJ Summary  We propose a fast approach for detecting and tracking a specific road in aerial videos. It combines adaptive Gaussian Mixture Models (GMMs) to describe road colour distributions, and homography based tracking to track road geometries, where an efficient technique is developed to estimate homography transformations between two frames. Experiments are conducted on videos captured by our unmanned aerial vehicles. All the results demonstrate the effectiveness of our proposed method. We test 1755 frames from 5 videos. Our approach can achieve 0.032 seconds per frame and 2.64% segmentation error for images with 908 × 513 resolutions, on average. Language eng DOI 10.1109/IVS.2014.6856523 Field of Research 080103 Computer Graphics 080106 Image Processing Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2014, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30072696 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Link Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 24 Apr 2015, 15:59:01 EST Sat, 25 Apr 2015, 05:02:38 EST Sat, 25 Apr 2015, 06:10:41 EST Wed, 29 Apr 2015, 11:25:58 EST Wed, 27 May 2015, 12:36:06 EST Wed, 09 Nov 2016, 12:04:51 EST Sat, 09 Jun 2018, 02:30:17 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 280 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Fri, 24 Apr 2015, 15:59:01 EST

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