Object Classification and Tracking in Video Surveillance

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dc.contributor.author Zang, Qi en
dc.contributor.author Klette, Reinhard en
dc.date.accessioned 2008-08-21T01:57:36Z en
dc.date.available 2008-08-21T01:57:36Z en
dc.date.issued 2003 en
dc.identifier.citation Communication and Information Technology Research Technical Report 128, (2003) en
dc.identifier.issn 1178-3617 en
dc.identifier.uri http://hdl.handle.net/2292/2839 en
dc.description You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original CITR web site; http://citr.auckland.ac.nz/techreports/ under terms that include this permission. All other rights are reserved by the author(s). en
dc.description.abstract The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrians. In case of any abnormal activities, an alert should be issued. Normally a video surveillance system combines three phases of data processing: moving object extraction, moving object recognition and tracking, and decisions about actions. The extraction of moving objects, followed by object tracking and recognition, can often be defined in very general terms. The final component is largely depended upon the application context, such as pedestrian counting or traffic monitoring. In this paper, we review previous research on moving object tracking techniques, analyze some experimental results, and finally provide our conclusions for improved performances of traffic surveillance systems. One stationary camera has been used. en
dc.publisher CITR, The University of Auckland, New Zealand en
dc.relation.ispartofseries Communication and Information Technology Research (CITR) Technical Report Series en
dc.rights Copyright CITR, The University of Auckland. You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original CITR web site under terms that include this permission. All other rights are reserved by the author(s). en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.source.uri http://citr.auckland.ac.nz/techreports/2003/CITR-TR-128.pdf en
dc.title Object Classification and Tracking in Video Surveillance en
dc.type Technical Report en
dc.subject.marsden Fields of Research::280000 Information, Computing and Communication Sciences en


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