Real-time detection of parked vehicles from multiple image streams Ong, Kok Leong and Lee, Vincent C.S. 2011, Real-time detection of parked vehicles from multiple image streams. In Fong, Simon (ed), Networked digital technologies : Third International Conference, NDT 2011, Macau, China, July 11-13, 2011, proceedings, Springer-Verlag, Berlin, Germany, pp.280-291. Attached Files Name Description MIMEType Size Downloads Title Real-time detection of parked vehicles from multiple image streams Author(s) Ong, Kok Leong Lee, Vincent C.S. Title of book Networked digital technologies : Third International Conference, NDT 2011, Macau, China, July 11-13, 2011, proceedings Editor(s) Fong, Simon Publication date 2011 Series Communications in computer and information science ; 136 Chapter number 24 Total chapters 37 Start page 280 End page 291 Total pages 12 Publisher Springer-Verlag Place of Publication Berlin, Germany Keyword(s) object detection machine learning methods image stream detection Summary We present a system to detect parked vehicles in a typical commercial parking complex using multiple streams of images captured through IP connected devices. Compared to traditional object detection techniques and machine learning methods, our approach is significantly faster in detection speed in the presence of multiple image streams. It is also capable of comparable accuracy when put to test against existing methods. And this is achieved without the need to train the system that machine learning methods require. Our approach uses a combination of psychological insights obtained from human detection and an algorithm replicating the outcomes of a SVM learner but without the noise that compromises accuracy in the normal learning process. The result is faster detection with comparable accuracy. Our experiments on images captured from a local test site shows very promising results for an implementation that is not only effective and low cost but also opens doors to new parking applications when combined with other technologies. ISBN 3642221858 9783642221859 ISSN 1865-0929 Language eng Field of Research 080106 Image Processing Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category B1 Book chapter Copyright notice ©2011, Springer-Verlag Berlin Heidelberg Persistent URL http://hdl.handle.net/10536/DRO/DU:30043166 Document type: Book Chapter Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) 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, 13 Mar 2012, 09:50:12 EST Tue, 27 Mar 2012, 15:56:12 EST Tue, 27 Mar 2012, 16:00:18 EST Wed, 28 Mar 2012, 16:27:14 EST Wed, 04 Apr 2012, 11:40:58 EST Wed, 04 Apr 2012, 11:43:10 EST Wed, 04 Apr 2012, 13:09:03 EST Mon, 07 May 2012, 19:22:17 EST Mon, 07 May 2012, 19:24:30 EST Tue, 08 May 2012, 09:40:31 EST Tue, 08 May 2012, 09:41:58 EST Thu, 15 May 2014, 16:11:06 EST Wed, 16 Jul 2014, 15:54:48 EST Thu, 20 Nov 2014, 13:40:21 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 144 Abstract Views, 7 File Downloads  -  Detailed Statistics Created: Tue, 13 Mar 2012, 09:50:12 EST