Deriving scale normalisation factors for a GLoG detector Khan, Mohammad A. U., Khan, Tariq M., Bailey, Donald G. and Kittaneh, Omar 2018, Deriving scale normalisation factors for a GLoG detector, IET Image Processing, vol. 12, no. 9, pp. 1673-1682, doi: 10.1049/iet-ipr.2017.0493. Attached Files Name Description MIMEType Size Downloads Title Deriving scale normalisation factors for a GLoG detector Author(s) Khan, Mohammad A. U. Khan, Tariq M. orcid.org/0000-0002-7477-1591 Bailey, Donald G. Kittaneh, Omar Journal name IET Image Processing Volume number 12 Issue number 9 Start page 1673 End page 1682 Total pages 10 Publisher Institution of Engineering and Technology (IET) Place of publication Stevenage, Eng. Publication date 2018-09-01 ISSN 1751-9659 1751-9667 Keyword(s) computer vision Caussian processes object detection object recognition object tracking Language eng DOI 10.1049/iet-ipr.2017.0493 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 0906 Electrical and Electronic Engineering HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2018, Institution of Engineering and Technology Persistent URL http://hdl.handle.net/10536/DRO/DU:30144841 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version 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 Tue, 03 Nov 2020, 11:07:39 EST Wed, 04 Nov 2020, 04:01:20 EST Wed, 04 Nov 2020, 05:06:10 EST Wed, 04 Nov 2020, 14:01:03 EST Wed, 04 Nov 2020, 14:05:23 EST Wed, 04 Nov 2020, 14:57:31 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 32 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 03 Nov 2020, 11:07:39 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.