Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms
We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on circuits and systems for video technology 2019-06, Vol.29 (6), p.1569-1583 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1583 |
|---|---|
| container_issue | 6 |
| container_start_page | 1569 |
| container_title | IEEE transactions on circuits and systems for video technology |
| container_volume | 29 |
| creator | Shim, Inwook Oh, Tae-Hyun Lee, Joon-Young Choi, Jinwook Choi, Dong-Geol Kweon, In So |
| description | We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that gradient quantity can determine the proper exposure level, allowing a camera to capture the important image features in a manner robust to illumination conditions. We then extend this concept to a multi-camera system and present a new control algorithm to achieve both brightness consistency between adjacent cameras and a proper exposure level for each camera. We implement our prototype system with off-the-shelf machine-vision cameras and demonstrate the effectiveness of the proposed algorithms on practical applications, including pedestrian detection, visual odometry, surround-view imaging, panoramic imaging, and stereo matching. |
| doi_str_mv | 10.1109/TCSVT.2018.2846292 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_8379436</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8379436</ieee_id><sourcerecordid>2235824954</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-a3602cbf0a354b28f1b7c5a84b710780ece28009a8787b8ee717e47441cb73823</originalsourceid><addsrcrecordid>eNo9kMFKAzEQhoMoWKsvoJcFz1uTSdLMHnXRKlQqWL2GZDsLW7ZNTXZB396tLZ7-Yfi_GfgYuxZ8IgQv7pbl--dyAlzgBFBNoYATNhJaYw7A9ekwcy1yBKHP2UVKa86FQmVGrJxFt2po2-UPLtEqK92Gossev3ch9ZGyMmy7GNqsDjFb9N0qDPkafNNS9ta6blhv0iU7q12b6OqYY_bx9Lgsn_P5YvZS3s_zCgrd5U5OOVS-5k5q5QFr4U2lHSpvBDfIqSJAzguHBo1HIiMMKaOUqLyRCHLMbg93dzF89ZQ6uw593A4vLYDUCKrQamjBoVXFkFKk2u5is3Hxxwpu97Lsnyy7l2WPsgbo5gA1RPQPoDSFklP5C0yvZKs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2235824954</pqid></control><display><type>article</type><title>Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms</title><source>IEEE Electronic Library (IEL)</source><creator>Shim, Inwook ; Oh, Tae-Hyun ; Lee, Joon-Young ; Choi, Jinwook ; Choi, Dong-Geol ; Kweon, In So</creator><creatorcontrib>Shim, Inwook ; Oh, Tae-Hyun ; Lee, Joon-Young ; Choi, Jinwook ; Choi, Dong-Geol ; Kweon, In So</creatorcontrib><description>We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that gradient quantity can determine the proper exposure level, allowing a camera to capture the important image features in a manner robust to illumination conditions. We then extend this concept to a multi-camera system and present a new control algorithm to achieve both brightness consistency between adjacent cameras and a proper exposure level for each camera. We implement our prototype system with off-the-shelf machine-vision cameras and demonstrate the effectiveness of the proposed algorithms on practical applications, including pedestrian detection, visual odometry, surround-view imaging, panoramic imaging, and stereo matching.</description><identifier>ISSN: 1051-8215</identifier><identifier>EISSN: 1558-2205</identifier><identifier>DOI: 10.1109/TCSVT.2018.2846292</identifier><identifier>CODEN: ITCTEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Auto exposure ; camera parameter control ; Cameras ; Computer vision ; Control algorithms ; Control theory ; Dynamic range ; Exposure ; exposure control ; gradient information ; Image processing ; Lighting ; Odometers ; panoramic imaging ; Platforms ; Robustness ; stereo matching ; surround-view ; Vision systems ; visual odometry</subject><ispartof>IEEE transactions on circuits and systems for video technology, 2019-06, Vol.29 (6), p.1569-1583</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-a3602cbf0a354b28f1b7c5a84b710780ece28009a8787b8ee717e47441cb73823</citedby><cites>FETCH-LOGICAL-c295t-a3602cbf0a354b28f1b7c5a84b710780ece28009a8787b8ee717e47441cb73823</cites><orcidid>0000-0003-0468-1571 ; 0000-0003-4822-855X ; 0000-0002-9167-6748</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8379436$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8379436$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Shim, Inwook</creatorcontrib><creatorcontrib>Oh, Tae-Hyun</creatorcontrib><creatorcontrib>Lee, Joon-Young</creatorcontrib><creatorcontrib>Choi, Jinwook</creatorcontrib><creatorcontrib>Choi, Dong-Geol</creatorcontrib><creatorcontrib>Kweon, In So</creatorcontrib><title>Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms</title><title>IEEE transactions on circuits and systems for video technology</title><addtitle>TCSVT</addtitle><description>We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that gradient quantity can determine the proper exposure level, allowing a camera to capture the important image features in a manner robust to illumination conditions. We then extend this concept to a multi-camera system and present a new control algorithm to achieve both brightness consistency between adjacent cameras and a proper exposure level for each camera. We implement our prototype system with off-the-shelf machine-vision cameras and demonstrate the effectiveness of the proposed algorithms on practical applications, including pedestrian detection, visual odometry, surround-view imaging, panoramic imaging, and stereo matching.</description><subject>Algorithms</subject><subject>Auto exposure</subject><subject>camera parameter control</subject><subject>Cameras</subject><subject>Computer vision</subject><subject>Control algorithms</subject><subject>Control theory</subject><subject>Dynamic range</subject><subject>Exposure</subject><subject>exposure control</subject><subject>gradient information</subject><subject>Image processing</subject><subject>Lighting</subject><subject>Odometers</subject><subject>panoramic imaging</subject><subject>Platforms</subject><subject>Robustness</subject><subject>stereo matching</subject><subject>surround-view</subject><subject>Vision systems</subject><subject>visual odometry</subject><issn>1051-8215</issn><issn>1558-2205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFKAzEQhoMoWKsvoJcFz1uTSdLMHnXRKlQqWL2GZDsLW7ZNTXZB396tLZ7-Yfi_GfgYuxZ8IgQv7pbl--dyAlzgBFBNoYATNhJaYw7A9ekwcy1yBKHP2UVKa86FQmVGrJxFt2po2-UPLtEqK92Gossev3ch9ZGyMmy7GNqsDjFb9N0qDPkafNNS9ta6blhv0iU7q12b6OqYY_bx9Lgsn_P5YvZS3s_zCgrd5U5OOVS-5k5q5QFr4U2lHSpvBDfIqSJAzguHBo1HIiMMKaOUqLyRCHLMbg93dzF89ZQ6uw593A4vLYDUCKrQamjBoVXFkFKk2u5is3Hxxwpu97Lsnyy7l2WPsgbo5gA1RPQPoDSFklP5C0yvZKs</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Shim, Inwook</creator><creator>Oh, Tae-Hyun</creator><creator>Lee, Joon-Young</creator><creator>Choi, Jinwook</creator><creator>Choi, Dong-Geol</creator><creator>Kweon, In So</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-0468-1571</orcidid><orcidid>https://orcid.org/0000-0003-4822-855X</orcidid><orcidid>https://orcid.org/0000-0002-9167-6748</orcidid></search><sort><creationdate>20190601</creationdate><title>Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms</title><author>Shim, Inwook ; Oh, Tae-Hyun ; Lee, Joon-Young ; Choi, Jinwook ; Choi, Dong-Geol ; Kweon, In So</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-a3602cbf0a354b28f1b7c5a84b710780ece28009a8787b8ee717e47441cb73823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Auto exposure</topic><topic>camera parameter control</topic><topic>Cameras</topic><topic>Computer vision</topic><topic>Control algorithms</topic><topic>Control theory</topic><topic>Dynamic range</topic><topic>Exposure</topic><topic>exposure control</topic><topic>gradient information</topic><topic>Image processing</topic><topic>Lighting</topic><topic>Odometers</topic><topic>panoramic imaging</topic><topic>Platforms</topic><topic>Robustness</topic><topic>stereo matching</topic><topic>surround-view</topic><topic>Vision systems</topic><topic>visual odometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shim, Inwook</creatorcontrib><creatorcontrib>Oh, Tae-Hyun</creatorcontrib><creatorcontrib>Lee, Joon-Young</creatorcontrib><creatorcontrib>Choi, Jinwook</creatorcontrib><creatorcontrib>Choi, Dong-Geol</creatorcontrib><creatorcontrib>Kweon, In So</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on circuits and systems for video technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shim, Inwook</au><au>Oh, Tae-Hyun</au><au>Lee, Joon-Young</au><au>Choi, Jinwook</au><au>Choi, Dong-Geol</au><au>Kweon, In So</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms</atitle><jtitle>IEEE transactions on circuits and systems for video technology</jtitle><stitle>TCSVT</stitle><date>2019-06-01</date><risdate>2019</risdate><volume>29</volume><issue>6</issue><spage>1569</spage><epage>1583</epage><pages>1569-1583</pages><issn>1051-8215</issn><eissn>1558-2205</eissn><coden>ITCTEM</coden><abstract>We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that gradient quantity can determine the proper exposure level, allowing a camera to capture the important image features in a manner robust to illumination conditions. We then extend this concept to a multi-camera system and present a new control algorithm to achieve both brightness consistency between adjacent cameras and a proper exposure level for each camera. We implement our prototype system with off-the-shelf machine-vision cameras and demonstrate the effectiveness of the proposed algorithms on practical applications, including pedestrian detection, visual odometry, surround-view imaging, panoramic imaging, and stereo matching.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCSVT.2018.2846292</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-0468-1571</orcidid><orcidid>https://orcid.org/0000-0003-4822-855X</orcidid><orcidid>https://orcid.org/0000-0002-9167-6748</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1051-8215 |
| ispartof | IEEE transactions on circuits and systems for video technology, 2019-06, Vol.29 (6), p.1569-1583 |
| issn | 1051-8215 1558-2205 |
| language | eng |
| recordid | cdi_ieee_primary_8379436 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Auto exposure camera parameter control Cameras Computer vision Control algorithms Control theory Dynamic range Exposure exposure control gradient information Image processing Lighting Odometers panoramic imaging Platforms Robustness stereo matching surround-view Vision systems visual odometry |
| title | Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T15%3A13%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Gradient-Based%20Camera%20Exposure%20Control%20for%20Outdoor%20Mobile%20Platforms&rft.jtitle=IEEE%20transactions%20on%20circuits%20and%20systems%20for%20video%20technology&rft.au=Shim,%20Inwook&rft.date=2019-06-01&rft.volume=29&rft.issue=6&rft.spage=1569&rft.epage=1583&rft.pages=1569-1583&rft.issn=1051-8215&rft.eissn=1558-2205&rft.coden=ITCTEM&rft_id=info:doi/10.1109/TCSVT.2018.2846292&rft_dat=%3Cproquest_RIE%3E2235824954%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2235824954&rft_id=info:pmid/&rft_ieee_id=8379436&rfr_iscdi=true |