https://scholars.lib.ntu.edu.tw/handle/123456789/500544
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chen, K.-W. | en_US |
dc.contributor.author | Lee, P.-J. | en_US |
dc.contributor.author | YI-PING HUNG | - |
dc.creator | Chen, K.-W.;Lee, P.-J.;Hung, Y.-P. | - |
dc.date.accessioned | 2020-06-11T06:41:05Z | - |
dc.date.available | 2020-06-11T06:41:05Z | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 16113349 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/500544 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751666664&doi=10.1007%2f978-3-642-17832-0_17&partnerID=40&md5=2f81eac78b0155df088154234e091d15 | - |
dc.description.abstract | Current visual surveillance system usually includes multiple cameras to monitor the activities of targets over a large area. An important issue for the guard or user using the system is to understand a series of events occurring in the environment, for example to track a target walking across multiple cameras. Opposite to the traditional systems switching the camera view from one to another directly, we propose a novel approach to egocentric view transition, which synthesizes the virtual views during the period of switching cameras, to ease the mental effort for users to understand the events. An important property of our system is that it can be applied to the situations of where the view fields of transition cameras are not close enough or even exclusive. Such situations have never been taken into consideration in the state-of-the-art view transition techniques, to our best knowledge. © Springer-Verlag Berlin Heidelberg 2011. | - |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.subject.other | Camera network; Camera view; Mental effort; Multiple cameras; Traditional systems; Video monitoring; View field; Virtual view; Visual surveillance systems; Distributed camera networks; Mental effort; Multiple cameras; State of the art; Traditional systems; Video monitoring; Virtual view; Visual surveillance systems; Cameras; Video cameras; Cameras; Security systems; Security systems | - |
dc.title | Egocentric view transition for video monitoring in a distributed camera network | en_US |
dc.type | conference paper | en |
dc.identifier.doi | 10.1007/978-3-642-17832-0_17 | - |
dc.identifier.scopus | 2-s2.0-78751666664 | - |
dc.relation.pages | 171-181 | - |
dc.relation.journalvolume | 6523 LNCS | - |
dc.relation.journalissue | PART 1 | - |
item.openairetype | conference paper | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Intel-NTU Connected Context Computing Center | - |
crisitem.author.dept | MediaTek-NTU Research Center | - |
crisitem.author.orcid | 0000-0002-9373-2184 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | Others: International Research Centers | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 電機工程學系 |
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