An audio-visual sensor fusion approach for feature based vehicle identification
In this article we present our software framework for embedded online data fusion, called I-SENSE. We discuss the fusion model and the decision modeling approach using support vector machines. Due to the system complexity and the genetic approach a data oriented model is introduced. The main focus o...
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 | 116 |
|---|---|
| container_issue | |
| container_start_page | 111 |
| container_title | |
| container_volume | |
| creator | Klausner, A. Tengg, A. Leistner, C. Erb, S. Rinner, B. |
| description | In this article we present our software framework for embedded online data fusion, called I-SENSE. We discuss the fusion model and the decision modeling approach using support vector machines. Due to the system complexity and the genetic approach a data oriented model is introduced. The main focus of the article is targeted at our techniques for extracting features of acoustic-and visual-data. Experimental results of our "traffic surveillance" case study demonstrate the feasibility of our multi-level data fusion approach. |
| doi_str_mv | 10.1109/AVSS.2007.4425295 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4425295</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4425295</ieee_id><sourcerecordid>4425295</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-8beed127899945452f4a72facc210b80c2a011cf18f186f3ddd67c07e142f2fe3</originalsourceid><addsrcrecordid>eNo1UNFKxDAQjIignv0A8SU_0JpskyZ5LId6wsE9nPp6pMmGi9S2NO2Bf2_FcxkYdocZmCXknrOCc2Ye64_9vgDGVCEESDDygmRGaS5ACF6ZSl2S2_9FqmuSpfTJlilNKQFuyK7uqJ197PNTTLNtacIu9SMNc4r9Ig3D2Ft3pOH3hnaaR6SNTejpCY_RtUijx26KITo7LY47chVsmzA784q8Pz-9rTf5dvfyuq63eeRKTrluED0HpY0xQgoJQVgFwToHnDWaObCMcxe4XlCF0ntfKccULl0CBCxX5OEvNyLiYRjjlx2_D-cflD9pBFCZ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>An audio-visual sensor fusion approach for feature based vehicle identification</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Klausner, A. ; Tengg, A. ; Leistner, C. ; Erb, S. ; Rinner, B.</creator><creatorcontrib>Klausner, A. ; Tengg, A. ; Leistner, C. ; Erb, S. ; Rinner, B.</creatorcontrib><description>In this article we present our software framework for embedded online data fusion, called I-SENSE. We discuss the fusion model and the decision modeling approach using support vector machines. Due to the system complexity and the genetic approach a data oriented model is introduced. The main focus of the article is targeted at our techniques for extracting features of acoustic-and visual-data. Experimental results of our "traffic surveillance" case study demonstrate the feasibility of our multi-level data fusion approach.</description><identifier>ISBN: 1424416957</identifier><identifier>ISBN: 9781424416950</identifier><identifier>EISBN: 9781424416967</identifier><identifier>EISBN: 1424416965</identifier><identifier>DOI: 10.1109/AVSS.2007.4425295</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer architecture ; Data mining ; Embedded software ; Feature extraction ; Genetics ; Informatics ; Sensor fusion ; Support vector machines ; Surveillance ; Vehicles</subject><ispartof>2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007, p.111-116</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/4425295$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4425295$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Klausner, A.</creatorcontrib><creatorcontrib>Tengg, A.</creatorcontrib><creatorcontrib>Leistner, C.</creatorcontrib><creatorcontrib>Erb, S.</creatorcontrib><creatorcontrib>Rinner, B.</creatorcontrib><title>An audio-visual sensor fusion approach for feature based vehicle identification</title><title>2007 IEEE Conference on Advanced Video and Signal Based Surveillance</title><addtitle>AVSS</addtitle><description>In this article we present our software framework for embedded online data fusion, called I-SENSE. We discuss the fusion model and the decision modeling approach using support vector machines. Due to the system complexity and the genetic approach a data oriented model is introduced. The main focus of the article is targeted at our techniques for extracting features of acoustic-and visual-data. Experimental results of our "traffic surveillance" case study demonstrate the feasibility of our multi-level data fusion approach.</description><subject>Computer architecture</subject><subject>Data mining</subject><subject>Embedded software</subject><subject>Feature extraction</subject><subject>Genetics</subject><subject>Informatics</subject><subject>Sensor fusion</subject><subject>Support vector machines</subject><subject>Surveillance</subject><subject>Vehicles</subject><isbn>1424416957</isbn><isbn>9781424416950</isbn><isbn>9781424416967</isbn><isbn>1424416965</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UNFKxDAQjIignv0A8SU_0JpskyZ5LId6wsE9nPp6pMmGi9S2NO2Bf2_FcxkYdocZmCXknrOCc2Ye64_9vgDGVCEESDDygmRGaS5ACF6ZSl2S2_9FqmuSpfTJlilNKQFuyK7uqJ197PNTTLNtacIu9SMNc4r9Ig3D2Ft3pOH3hnaaR6SNTejpCY_RtUijx26KITo7LY47chVsmzA784q8Pz-9rTf5dvfyuq63eeRKTrluED0HpY0xQgoJQVgFwToHnDWaObCMcxe4XlCF0ntfKccULl0CBCxX5OEvNyLiYRjjlx2_D-cflD9pBFCZ</recordid><startdate>200709</startdate><enddate>200709</enddate><creator>Klausner, A.</creator><creator>Tengg, A.</creator><creator>Leistner, C.</creator><creator>Erb, S.</creator><creator>Rinner, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200709</creationdate><title>An audio-visual sensor fusion approach for feature based vehicle identification</title><author>Klausner, A. ; Tengg, A. ; Leistner, C. ; Erb, S. ; Rinner, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-8beed127899945452f4a72facc210b80c2a011cf18f186f3ddd67c07e142f2fe3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Computer architecture</topic><topic>Data mining</topic><topic>Embedded software</topic><topic>Feature extraction</topic><topic>Genetics</topic><topic>Informatics</topic><topic>Sensor fusion</topic><topic>Support vector machines</topic><topic>Surveillance</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Klausner, A.</creatorcontrib><creatorcontrib>Tengg, A.</creatorcontrib><creatorcontrib>Leistner, C.</creatorcontrib><creatorcontrib>Erb, S.</creatorcontrib><creatorcontrib>Rinner, B.</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>Klausner, A.</au><au>Tengg, A.</au><au>Leistner, C.</au><au>Erb, S.</au><au>Rinner, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An audio-visual sensor fusion approach for feature based vehicle identification</atitle><btitle>2007 IEEE Conference on Advanced Video and Signal Based Surveillance</btitle><stitle>AVSS</stitle><date>2007-09</date><risdate>2007</risdate><spage>111</spage><epage>116</epage><pages>111-116</pages><isbn>1424416957</isbn><isbn>9781424416950</isbn><eisbn>9781424416967</eisbn><eisbn>1424416965</eisbn><abstract>In this article we present our software framework for embedded online data fusion, called I-SENSE. We discuss the fusion model and the decision modeling approach using support vector machines. Due to the system complexity and the genetic approach a data oriented model is introduced. The main focus of the article is targeted at our techniques for extracting features of acoustic-and visual-data. Experimental results of our "traffic surveillance" case study demonstrate the feasibility of our multi-level data fusion approach.</abstract><pub>IEEE</pub><doi>10.1109/AVSS.2007.4425295</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 1424416957 |
| ispartof | 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007, p.111-116 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_4425295 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer architecture Data mining Embedded software Feature extraction Genetics Informatics Sensor fusion Support vector machines Surveillance Vehicles |
| title | An audio-visual sensor fusion approach for feature based vehicle identification |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T15%3A19%3A53IST&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=An%20audio-visual%20sensor%20fusion%20approach%20for%20feature%20based%20vehicle%20identification&rft.btitle=2007%20IEEE%20Conference%20on%20Advanced%20Video%20and%20Signal%20Based%20Surveillance&rft.au=Klausner,%20A.&rft.date=2007-09&rft.spage=111&rft.epage=116&rft.pages=111-116&rft.isbn=1424416957&rft.isbn_list=9781424416950&rft_id=info:doi/10.1109/AVSS.2007.4425295&rft_dat=%3Cieee_6IE%3E4425295%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424416967&rft.eisbn_list=1424416965&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4425295&rfr_iscdi=true |