Loading…
Multiple-Sensor Indoor Surveillance System
This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consists of video cameras, infrared tag readers, a fingerprint reader and a PTZ camera. The system implements a Bayesian framewo...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 40 |
container_issue | |
container_start_page | 40 |
container_title | |
container_volume | |
creator | Petrushin, V.A. Gang Wei Shakil, O. Roqueiro, D. Gershman, V. |
description | This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consists of video cameras, infrared tag readers, a fingerprint reader and a PTZ camera. The system implements a Bayesian framework that uses noisy, but redundant data from multiple sensor streams and incorporates it with the contextual and domain knowledge. The paper describes approaches to camera specification, dynamic background modeling, object modeling and probabilistic inference. The preliminary experimental results are presented and discussed. |
doi_str_mv | 10.1109/CRV.2006.50 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1640395</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1640395</ieee_id><sourcerecordid>1640395</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-46281e0b0576c396b23e20161580f6d8001d88d14d121357246a3849be65e89d3</originalsourceid><addsrcrecordid>eNotzU1Lw0AQgOEFEZSak0cvPQuJM_sxmT1K8KPQIpjitSTdKaxs05JNhf57C3p6bu-r1D1ChQj-qfn8qjQAVQ6uVOFrhpq8085qulFFzt8AgJ6YyN6qx9UpTfGYpGxlyIdxvhjC4UJ7Gn8kptQNW5m35zzJ_k5d77qUpfh3ptavL-vmvVx-vC2a52UZPUylJc0o0IOraWs89dqIBiR0DDsKfHkH5oA2oEbjam2pM2x9L-SEfTAz9fCXjSKyOY5x343nDZIF4535BdaIPS4</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Multiple-Sensor Indoor Surveillance System</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Petrushin, V.A. ; Gang Wei ; Shakil, O. ; Roqueiro, D. ; Gershman, V.</creator><creatorcontrib>Petrushin, V.A. ; Gang Wei ; Shakil, O. ; Roqueiro, D. ; Gershman, V.</creatorcontrib><description>This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consists of video cameras, infrared tag readers, a fingerprint reader and a PTZ camera. The system implements a Bayesian framework that uses noisy, but redundant data from multiple sensor streams and incorporates it with the contextual and domain knowledge. The paper describes approaches to camera specification, dynamic background modeling, object modeling and probabilistic inference. The preliminary experimental results are presented and discussed.</description><identifier>ISBN: 9780769525426</identifier><identifier>ISBN: 0769525423</identifier><identifier>DOI: 10.1109/CRV.2006.50</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cameras ; Computerized monitoring ; Event detection ; Fingerprint recognition ; Infrared sensors ; Object detection ; Robot vision systems ; Sensor systems ; Surveillance ; Working environment noise</subject><ispartof>The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006, p.40-40</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/1640395$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,4035,4036,27904,54899</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1640395$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Petrushin, V.A.</creatorcontrib><creatorcontrib>Gang Wei</creatorcontrib><creatorcontrib>Shakil, O.</creatorcontrib><creatorcontrib>Roqueiro, D.</creatorcontrib><creatorcontrib>Gershman, V.</creatorcontrib><title>Multiple-Sensor Indoor Surveillance System</title><title>The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)</title><addtitle>CRV</addtitle><description>This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consists of video cameras, infrared tag readers, a fingerprint reader and a PTZ camera. The system implements a Bayesian framework that uses noisy, but redundant data from multiple sensor streams and incorporates it with the contextual and domain knowledge. The paper describes approaches to camera specification, dynamic background modeling, object modeling and probabilistic inference. The preliminary experimental results are presented and discussed.</description><subject>Cameras</subject><subject>Computerized monitoring</subject><subject>Event detection</subject><subject>Fingerprint recognition</subject><subject>Infrared sensors</subject><subject>Object detection</subject><subject>Robot vision systems</subject><subject>Sensor systems</subject><subject>Surveillance</subject><subject>Working environment noise</subject><isbn>9780769525426</isbn><isbn>0769525423</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotzU1Lw0AQgOEFEZSak0cvPQuJM_sxmT1K8KPQIpjitSTdKaxs05JNhf57C3p6bu-r1D1ChQj-qfn8qjQAVQ6uVOFrhpq8085qulFFzt8AgJ6YyN6qx9UpTfGYpGxlyIdxvhjC4UJ7Gn8kptQNW5m35zzJ_k5d77qUpfh3ptavL-vmvVx-vC2a52UZPUylJc0o0IOraWs89dqIBiR0DDsKfHkH5oA2oEbjam2pM2x9L-SEfTAz9fCXjSKyOY5x343nDZIF4535BdaIPS4</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Petrushin, V.A.</creator><creator>Gang Wei</creator><creator>Shakil, O.</creator><creator>Roqueiro, D.</creator><creator>Gershman, V.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>Multiple-Sensor Indoor Surveillance System</title><author>Petrushin, V.A. ; Gang Wei ; Shakil, O. ; Roqueiro, D. ; Gershman, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-46281e0b0576c396b23e20161580f6d8001d88d14d121357246a3849be65e89d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Cameras</topic><topic>Computerized monitoring</topic><topic>Event detection</topic><topic>Fingerprint recognition</topic><topic>Infrared sensors</topic><topic>Object detection</topic><topic>Robot vision systems</topic><topic>Sensor systems</topic><topic>Surveillance</topic><topic>Working environment noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Petrushin, V.A.</creatorcontrib><creatorcontrib>Gang Wei</creatorcontrib><creatorcontrib>Shakil, O.</creatorcontrib><creatorcontrib>Roqueiro, D.</creatorcontrib><creatorcontrib>Gershman, V.</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>Petrushin, V.A.</au><au>Gang Wei</au><au>Shakil, O.</au><au>Roqueiro, D.</au><au>Gershman, V.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multiple-Sensor Indoor Surveillance System</atitle><btitle>The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)</btitle><stitle>CRV</stitle><date>2006</date><risdate>2006</risdate><spage>40</spage><epage>40</epage><pages>40-40</pages><isbn>9780769525426</isbn><isbn>0769525423</isbn><abstract>This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consists of video cameras, infrared tag readers, a fingerprint reader and a PTZ camera. The system implements a Bayesian framework that uses noisy, but redundant data from multiple sensor streams and incorporates it with the contextual and domain knowledge. The paper describes approaches to camera specification, dynamic background modeling, object modeling and probabilistic inference. The preliminary experimental results are presented and discussed.</abstract><pub>IEEE</pub><doi>10.1109/CRV.2006.50</doi><tpages>1</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 9780769525426 |
ispartof | The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), 2006, p.40-40 |
issn | |
language | eng |
recordid | cdi_ieee_primary_1640395 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cameras Computerized monitoring Event detection Fingerprint recognition Infrared sensors Object detection Robot vision systems Sensor systems Surveillance Working environment noise |
title | Multiple-Sensor Indoor Surveillance System |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T16%3A37%3A15IST&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=Multiple-Sensor%20Indoor%20Surveillance%20System&rft.btitle=The%203rd%20Canadian%20Conference%20on%20Computer%20and%20Robot%20Vision%20(CRV'06)&rft.au=Petrushin,%20V.A.&rft.date=2006&rft.spage=40&rft.epage=40&rft.pages=40-40&rft.isbn=9780769525426&rft.isbn_list=0769525423&rft_id=info:doi/10.1109/CRV.2006.50&rft_dat=%3Cieee_6IE%3E1640395%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-46281e0b0576c396b23e20161580f6d8001d88d14d121357246a3849be65e89d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1640395&rfr_iscdi=true |