FH-adaptive motion compensation for moving object detection in an active camera

FH-adaptive motion compensation for moving object detection in an active camera

An efficient camera motion compensation algorithm based on multi-layer decomposition is proposed for moving object detection in an active camera. Optical flow map obtained using the pyramid LK algorithm is divided into multi-layers by flow histogram decomposition. The camera motion model parameters...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Jiman Kim, Jongju Shin, Daijin Kim
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Histograms
Image motion analysis
Iterative algorithms
Maximum likelihood estimation
Motion compensation
Motion estimation
Object detection
Optical computing
Real time systems
Smart cameras
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 537
container_issue
container_start_page 532
container_title
container_volume
creator Jiman Kim
Jongju Shin
Daijin Kim
description An efficient camera motion compensation algorithm based on multi-layer decomposition is proposed for moving object detection in an active camera. Optical flow map obtained using the pyramid LK algorithm is divided into multi-layers by flow histogram decomposition. The camera motion model parameters of each layer are computed and used to compensate for the motion. The proposed algorithm has more accurate motion compensation and moving object detection results than the existing single-layer motion models. Also, the proposed algorithm is fast, so it can be applied to real time systems.
doi_str_mv 10.1109/ISSPIT.2009.5407543
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5407543</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5407543</ieee_id><sourcerecordid>5407543</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-331748b13bad7657ce315a8c70f0473dea643da2371c1ac7959578e547f427ff3</originalsourceid><addsrcrecordid>eNpNUF1Lw0AQPFHBUvML-pI_kHh3u5fNPUqxtlCo0PpcNpeLXDEfJKHgvzfWPnRZGGaGWZgVYqFkqpS0L5v9_mNzSLWUNjUoySDcichSrlAjGmtkdn_L0coHMdMq0wnlCE8iGoaTnAYNyEzPxG61TrjkbgxnH9ftGNomdm3d-WbgC6naftLPofmK2-Lk3RiXfpzgzwtNzNO6S9hx7Xt-Fo8Vfw8-uuJcfK7eDst1st29b5av2yQoMmMCoAjzQkHBJWWGnAdlOHckK4kEpecMoWQNpJxiR3aqRrk3SBVqqiqYi8X_3eC9P3Z9qLn_OV5fAr-s2FKO</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>FH-adaptive motion compensation for moving object detection in an active camera</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Jiman Kim ; Jongju Shin ; Daijin Kim</creator><creatorcontrib>Jiman Kim ; Jongju Shin ; Daijin Kim</creatorcontrib><description>An efficient camera motion compensation algorithm based on multi-layer decomposition is proposed for moving object detection in an active camera. Optical flow map obtained using the pyramid LK algorithm is divided into multi-layers by flow histogram decomposition. The camera motion model parameters of each layer are computed and used to compensate for the motion. The proposed algorithm has more accurate motion compensation and moving object detection results than the existing single-layer motion models. Also, the proposed algorithm is fast, so it can be applied to real time systems.</description><identifier>ISSN: 2162-7843</identifier><identifier>ISBN: 9781424459490</identifier><identifier>ISBN: 1424459494</identifier><identifier>EISBN: 9781424459506</identifier><identifier>EISBN: 1424459486</identifier><identifier>EISBN: 9781424459483</identifier><identifier>EISBN: 1424459508</identifier><identifier>DOI: 10.1109/ISSPIT.2009.5407543</identifier><language>eng</language><publisher>IEEE</publisher><subject>Histograms ; Image motion analysis ; Iterative algorithms ; Maximum likelihood estimation ; Motion compensation ; Motion estimation ; Object detection ; Optical computing ; Real time systems ; Smart cameras</subject><ispartof>2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2009, p.532-537</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/5407543$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5407543$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jiman Kim</creatorcontrib><creatorcontrib>Jongju Shin</creatorcontrib><creatorcontrib>Daijin Kim</creatorcontrib><title>FH-adaptive motion compensation for moving object detection in an active camera</title><title>2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)</title><addtitle>ISSPIT</addtitle><description>An efficient camera motion compensation algorithm based on multi-layer decomposition is proposed for moving object detection in an active camera. Optical flow map obtained using the pyramid LK algorithm is divided into multi-layers by flow histogram decomposition. The camera motion model parameters of each layer are computed and used to compensate for the motion. The proposed algorithm has more accurate motion compensation and moving object detection results than the existing single-layer motion models. Also, the proposed algorithm is fast, so it can be applied to real time systems.</description><subject>Histograms</subject><subject>Image motion analysis</subject><subject>Iterative algorithms</subject><subject>Maximum likelihood estimation</subject><subject>Motion compensation</subject><subject>Motion estimation</subject><subject>Object detection</subject><subject>Optical computing</subject><subject>Real time systems</subject><subject>Smart cameras</subject><issn>2162-7843</issn><isbn>9781424459490</isbn><isbn>1424459494</isbn><isbn>9781424459506</isbn><isbn>1424459486</isbn><isbn>9781424459483</isbn><isbn>1424459508</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNUF1Lw0AQPFHBUvML-pI_kHh3u5fNPUqxtlCo0PpcNpeLXDEfJKHgvzfWPnRZGGaGWZgVYqFkqpS0L5v9_mNzSLWUNjUoySDcichSrlAjGmtkdn_L0coHMdMq0wnlCE8iGoaTnAYNyEzPxG61TrjkbgxnH9ftGNomdm3d-WbgC6naftLPofmK2-Lk3RiXfpzgzwtNzNO6S9hx7Xt-Fo8Vfw8-uuJcfK7eDst1st29b5av2yQoMmMCoAjzQkHBJWWGnAdlOHckK4kEpecMoWQNpJxiR3aqRrk3SBVqqiqYi8X_3eC9P3Z9qLn_OV5fAr-s2FKO</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Jiman Kim</creator><creator>Jongju Shin</creator><creator>Daijin Kim</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>FH-adaptive motion compensation for moving object detection in an active camera</title><author>Jiman Kim ; Jongju Shin ; Daijin Kim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-331748b13bad7657ce315a8c70f0473dea643da2371c1ac7959578e547f427ff3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Histograms</topic><topic>Image motion analysis</topic><topic>Iterative algorithms</topic><topic>Maximum likelihood estimation</topic><topic>Motion compensation</topic><topic>Motion estimation</topic><topic>Object detection</topic><topic>Optical computing</topic><topic>Real time systems</topic><topic>Smart cameras</topic><toplevel>online_resources</toplevel><creatorcontrib>Jiman Kim</creatorcontrib><creatorcontrib>Jongju Shin</creatorcontrib><creatorcontrib>Daijin Kim</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>Jiman Kim</au><au>Jongju Shin</au><au>Daijin Kim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>FH-adaptive motion compensation for moving object detection in an active camera</atitle><btitle>2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)</btitle><stitle>ISSPIT</stitle><date>2009-12</date><risdate>2009</risdate><spage>532</spage><epage>537</epage><pages>532-537</pages><issn>2162-7843</issn><isbn>9781424459490</isbn><isbn>1424459494</isbn><eisbn>9781424459506</eisbn><eisbn>1424459486</eisbn><eisbn>9781424459483</eisbn><eisbn>1424459508</eisbn><abstract>An efficient camera motion compensation algorithm based on multi-layer decomposition is proposed for moving object detection in an active camera. Optical flow map obtained using the pyramid LK algorithm is divided into multi-layers by flow histogram decomposition. The camera motion model parameters of each layer are computed and used to compensate for the motion. The proposed algorithm has more accurate motion compensation and moving object detection results than the existing single-layer motion models. Also, the proposed algorithm is fast, so it can be applied to real time systems.</abstract><pub>IEEE</pub><doi>10.1109/ISSPIT.2009.5407543</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2162-7843
ispartof 2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2009, p.532-537
issn 2162-7843
language eng
recordid cdi_ieee_primary_5407543
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Histograms
Image motion analysis
Iterative algorithms
Maximum likelihood estimation
Motion compensation
Motion estimation
Object detection
Optical computing
Real time systems
Smart cameras
title FH-adaptive motion compensation for moving object detection in an active camera
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T01%3A34%3A10IST&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=FH-adaptive%20motion%20compensation%20for%20moving%20object%20detection%20in%20an%20active%20camera&rft.btitle=2009%20IEEE%20International%20Symposium%20on%20Signal%20Processing%20and%20Information%20Technology%20(ISSPIT)&rft.au=Jiman%20Kim&rft.date=2009-12&rft.spage=532&rft.epage=537&rft.pages=532-537&rft.issn=2162-7843&rft.isbn=9781424459490&rft.isbn_list=1424459494&rft_id=info:doi/10.1109/ISSPIT.2009.5407543&rft_dat=%3Cieee_6IE%3E5407543%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424459506&rft.eisbn_list=1424459486&rft.eisbn_list=9781424459483&rft.eisbn_list=1424459508&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5407543&rfr_iscdi=true