Applying multi layer homography for multi camera person tracking
CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerou...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 9 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | |
| container_volume | |
| creator | Arsic, D. Hristov, E. Lehment, N. Hornler, B. Schuller, B. Rigoll, G. |
| description | CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have seem to be the prerequisite for huge spaces where frequently occlusions appear. In this paper we will present a system which robustly detects and tracks objects in a multi camera environment and performs a subsequent behavioral analysis based on luggage related events. |
| doi_str_mv | 10.1109/ICDSC.2008.4635731 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4635731</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4635731</ieee_id><sourcerecordid>4635731</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-e8a87fb7580bc5cb78fe5b2750203881a74646fa6a45ae2ab4657f1f59caca0f3</originalsourceid><addsrcrecordid>eNo1UEtOwzAUNEKVoCUXgI0vkPD8t3dUgUKlSizovnqx7DaQNJETFrk9RYTZjEbzWQwh9wwKxsA9bsvnj7LgALaQWigj2BXJnLFMcim51opfk-W_kHxBlr9ZB0pweUOyYfiEC6QSAvQteVr3fTPV5yNtv5uxpg1OIdFT13bHhP1porFLs-WxDQlpH9LQnemY0H9dendkEbEZQjbziuw3L_vyLd-9v27L9S6vHYx5sGhNrIyyUHnlK2NjUBU3CjgIaxkaqaWOqFEqDBwrqZWJLCrn0SNEsSIPf7N1COHQp7rFNB3mA8QPaotNRw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Applying multi layer homography for multi camera person tracking</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Arsic, D. ; Hristov, E. ; Lehment, N. ; Hornler, B. ; Schuller, B. ; Rigoll, G.</creator><creatorcontrib>Arsic, D. ; Hristov, E. ; Lehment, N. ; Hornler, B. ; Schuller, B. ; Rigoll, G.</creatorcontrib><description>CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have seem to be the prerequisite for huge spaces where frequently occlusions appear. In this paper we will present a system which robustly detects and tracks objects in a multi camera environment and performs a subsequent behavioral analysis based on luggage related events.</description><identifier>ISBN: 1424426642</identifier><identifier>ISBN: 9781424426645</identifier><identifier>EISBN: 9781424426652</identifier><identifier>EISBN: 1424426650</identifier><identifier>DOI: 10.1109/ICDSC.2008.4635731</identifier><identifier>LCCN: 2008905324</identifier><language>eng</language><publisher>IEEE</publisher><subject>Multi camera tracking ; Multi Layer Homography</subject><ispartof>2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008, p.1-9</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4635731$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4635731$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Arsic, D.</creatorcontrib><creatorcontrib>Hristov, E.</creatorcontrib><creatorcontrib>Lehment, N.</creatorcontrib><creatorcontrib>Hornler, B.</creatorcontrib><creatorcontrib>Schuller, B.</creatorcontrib><creatorcontrib>Rigoll, G.</creatorcontrib><title>Applying multi layer homography for multi camera person tracking</title><title>2008 Second ACM/IEEE International Conference on Distributed Smart Cameras</title><addtitle>ICDSC</addtitle><description>CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have seem to be the prerequisite for huge spaces where frequently occlusions appear. In this paper we will present a system which robustly detects and tracks objects in a multi camera environment and performs a subsequent behavioral analysis based on luggage related events.</description><subject>Multi camera tracking</subject><subject>Multi Layer Homography</subject><isbn>1424426642</isbn><isbn>9781424426645</isbn><isbn>9781424426652</isbn><isbn>1424426650</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UEtOwzAUNEKVoCUXgI0vkPD8t3dUgUKlSizovnqx7DaQNJETFrk9RYTZjEbzWQwh9wwKxsA9bsvnj7LgALaQWigj2BXJnLFMcim51opfk-W_kHxBlr9ZB0pweUOyYfiEC6QSAvQteVr3fTPV5yNtv5uxpg1OIdFT13bHhP1porFLs-WxDQlpH9LQnemY0H9dendkEbEZQjbziuw3L_vyLd-9v27L9S6vHYx5sGhNrIyyUHnlK2NjUBU3CjgIaxkaqaWOqFEqDBwrqZWJLCrn0SNEsSIPf7N1COHQp7rFNB3mA8QPaotNRw</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Arsic, D.</creator><creator>Hristov, E.</creator><creator>Lehment, N.</creator><creator>Hornler, B.</creator><creator>Schuller, B.</creator><creator>Rigoll, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200809</creationdate><title>Applying multi layer homography for multi camera person tracking</title><author>Arsic, D. ; Hristov, E. ; Lehment, N. ; Hornler, B. ; Schuller, B. ; Rigoll, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e8a87fb7580bc5cb78fe5b2750203881a74646fa6a45ae2ab4657f1f59caca0f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Multi camera tracking</topic><topic>Multi Layer Homography</topic><toplevel>online_resources</toplevel><creatorcontrib>Arsic, D.</creatorcontrib><creatorcontrib>Hristov, E.</creatorcontrib><creatorcontrib>Lehment, N.</creatorcontrib><creatorcontrib>Hornler, B.</creatorcontrib><creatorcontrib>Schuller, B.</creatorcontrib><creatorcontrib>Rigoll, G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Arsic, D.</au><au>Hristov, E.</au><au>Lehment, N.</au><au>Hornler, B.</au><au>Schuller, B.</au><au>Rigoll, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Applying multi layer homography for multi camera person tracking</atitle><btitle>2008 Second ACM/IEEE International Conference on Distributed Smart Cameras</btitle><stitle>ICDSC</stitle><date>2008-09</date><risdate>2008</risdate><spage>1</spage><epage>9</epage><pages>1-9</pages><isbn>1424426642</isbn><isbn>9781424426645</isbn><eisbn>9781424426652</eisbn><eisbn>1424426650</eisbn><abstract>CCTV systems have been introduced in most public spaces in order to increase security. Video outputs are observed by human operators if possible but mostly used as a forensic tool. Therefore it seems desirable to automate video surveillance systems, in order to be able to detect potentially dangerous situations as soon as possible. Multi camera systems have seem to be the prerequisite for huge spaces where frequently occlusions appear. In this paper we will present a system which robustly detects and tracks objects in a multi camera environment and performs a subsequent behavioral analysis based on luggage related events.</abstract><pub>IEEE</pub><doi>10.1109/ICDSC.2008.4635731</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 1424426642 |
| ispartof | 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008, p.1-9 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_4635731 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Multi camera tracking Multi Layer Homography |
| title | Applying multi layer homography for multi camera person tracking |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T20%3A07%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Applying%20multi%20layer%20homography%20for%20multi%20camera%20person%20tracking&rft.btitle=2008%20Second%20ACM/IEEE%20International%20Conference%20on%20Distributed%20Smart%20Cameras&rft.au=Arsic,%20D.&rft.date=2008-09&rft.spage=1&rft.epage=9&rft.pages=1-9&rft.isbn=1424426642&rft.isbn_list=9781424426645&rft_id=info:doi/10.1109/ICDSC.2008.4635731&rft_dat=%3Cieee_6IE%3E4635731%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424426652&rft.eisbn_list=1424426650&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4635731&rfr_iscdi=true |