Real-time Vision-based Object Tracking from a Moving Platform in the Air
Generally the scene of the visual surveillance using one camera is confined within certain limits. If you want to extend the surveillance area, you need multiple cameras. It attempts to detect, recognize and track certain objects from image sequences. This paper presents a simple and effective appro...
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 | 685 |
|---|---|
| container_issue | |
| container_start_page | 681 |
| container_title | |
| container_volume | |
| creator | Wei Ding Zhenbang Gong Shaorong Xie Hairong Zou |
| description | Generally the scene of the visual surveillance using one camera is confined within certain limits. If you want to extend the surveillance area, you need multiple cameras. It attempts to detect, recognize and track certain objects from image sequences. This paper presents a simple and effective approach segmenting and tracking a moving object from a moving platform in the air such as UAV or ballonet airship, etc. The moving platform can follow the tracked object during a long distance. It can be used to track the doubtful vehicle and strengthen the visual surveillance more. The proposed approach is efficient and robust. The object is searched only in a subwindow of the current frame. The position of sub-window is estimated by its position in the last two frames. The features of the object are updated in each frame. The approach produces good tracking results at a frame rate of 25 fps. It is available in tracking a moving object in various scenes |
| doi_str_mv | 10.1109/IROS.2006.282612 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4058437</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4058437</ieee_id><sourcerecordid>4058437</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-82723c18a26d76e2676b74a1799b3ec46bfa4e3c482c72582f0d3a773a6776b63</originalsourceid><addsrcrecordid>eNpVjktLAzEcxOMLLHXvgpd8gazJP-9jKWoLlZVavZZsNqup-5DsIvjtXVEE5zIMv2EYhC4ZzRmj9nq9LR5zoFTlYEAxOEKZ1YYJEIKCtPIYzYBJTqhR6uQfM-b0j0lzjrJhONBJ3ErBzAyttsE1ZIxtwM9xiH1HSjeEChflIfgR75Lzb7F7wXXqW-zwff_xnR4aN9Z9anHs8Pga8CKmC3RWu2YI2a_P0dPtzW65Ipvibr1cbEhkWo7EgAbumXGgKq0CKK1KLRzT1pY8eKHK2onAvTDg9XQfalpxpzV3Sk9Vxefo6mc3hhD27ym2Ln3uBZVGcM2_AIT0T6Q</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Real-time Vision-based Object Tracking from a Moving Platform in the Air</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Wei Ding ; Zhenbang Gong ; Shaorong Xie ; Hairong Zou</creator><creatorcontrib>Wei Ding ; Zhenbang Gong ; Shaorong Xie ; Hairong Zou</creatorcontrib><description>Generally the scene of the visual surveillance using one camera is confined within certain limits. If you want to extend the surveillance area, you need multiple cameras. It attempts to detect, recognize and track certain objects from image sequences. This paper presents a simple and effective approach segmenting and tracking a moving object from a moving platform in the air such as UAV or ballonet airship, etc. The moving platform can follow the tracked object during a long distance. It can be used to track the doubtful vehicle and strengthen the visual surveillance more. The proposed approach is efficient and robust. The object is searched only in a subwindow of the current frame. The position of sub-window is estimated by its position in the last two frames. The features of the object are updated in each frame. The approach produces good tracking results at a frame rate of 25 fps. It is available in tracking a moving object in various scenes</description><identifier>ISSN: 2153-0858</identifier><identifier>ISBN: 9781424402588</identifier><identifier>ISBN: 1424402581</identifier><identifier>EISSN: 2153-0866</identifier><identifier>EISBN: 9781424402595</identifier><identifier>EISBN: 142440259X</identifier><identifier>DOI: 10.1109/IROS.2006.282612</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cameras ; Feature Extraction ; Image motion analysis ; Image segmentation ; Layout ; Lighting ; Optical noise ; Optical sensors ; Predicting ; Segmenting ; Surveillance ; Threshold ; Tracking ; Unmanned aerial vehicles ; Vehicle dynamics</subject><ispartof>2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006, p.681-685</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/4058437$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4058437$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wei Ding</creatorcontrib><creatorcontrib>Zhenbang Gong</creatorcontrib><creatorcontrib>Shaorong Xie</creatorcontrib><creatorcontrib>Hairong Zou</creatorcontrib><title>Real-time Vision-based Object Tracking from a Moving Platform in the Air</title><title>2006 IEEE/RSJ International Conference on Intelligent Robots and Systems</title><addtitle>IROS</addtitle><description>Generally the scene of the visual surveillance using one camera is confined within certain limits. If you want to extend the surveillance area, you need multiple cameras. It attempts to detect, recognize and track certain objects from image sequences. This paper presents a simple and effective approach segmenting and tracking a moving object from a moving platform in the air such as UAV or ballonet airship, etc. The moving platform can follow the tracked object during a long distance. It can be used to track the doubtful vehicle and strengthen the visual surveillance more. The proposed approach is efficient and robust. The object is searched only in a subwindow of the current frame. The position of sub-window is estimated by its position in the last two frames. The features of the object are updated in each frame. The approach produces good tracking results at a frame rate of 25 fps. It is available in tracking a moving object in various scenes</description><subject>Cameras</subject><subject>Feature Extraction</subject><subject>Image motion analysis</subject><subject>Image segmentation</subject><subject>Layout</subject><subject>Lighting</subject><subject>Optical noise</subject><subject>Optical sensors</subject><subject>Predicting</subject><subject>Segmenting</subject><subject>Surveillance</subject><subject>Threshold</subject><subject>Tracking</subject><subject>Unmanned aerial vehicles</subject><subject>Vehicle dynamics</subject><issn>2153-0858</issn><issn>2153-0866</issn><isbn>9781424402588</isbn><isbn>1424402581</isbn><isbn>9781424402595</isbn><isbn>142440259X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVjktLAzEcxOMLLHXvgpd8gazJP-9jKWoLlZVavZZsNqup-5DsIvjtXVEE5zIMv2EYhC4ZzRmj9nq9LR5zoFTlYEAxOEKZ1YYJEIKCtPIYzYBJTqhR6uQfM-b0j0lzjrJhONBJ3ErBzAyttsE1ZIxtwM9xiH1HSjeEChflIfgR75Lzb7F7wXXqW-zwff_xnR4aN9Z9anHs8Pga8CKmC3RWu2YI2a_P0dPtzW65Ipvibr1cbEhkWo7EgAbumXGgKq0CKK1KLRzT1pY8eKHK2onAvTDg9XQfalpxpzV3Sk9Vxefo6mc3hhD27ym2Ln3uBZVGcM2_AIT0T6Q</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Wei Ding</creator><creator>Zhenbang Gong</creator><creator>Shaorong Xie</creator><creator>Hairong Zou</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200610</creationdate><title>Real-time Vision-based Object Tracking from a Moving Platform in the Air</title><author>Wei Ding ; Zhenbang Gong ; Shaorong Xie ; Hairong Zou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-82723c18a26d76e2676b74a1799b3ec46bfa4e3c482c72582f0d3a773a6776b63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Cameras</topic><topic>Feature Extraction</topic><topic>Image motion analysis</topic><topic>Image segmentation</topic><topic>Layout</topic><topic>Lighting</topic><topic>Optical noise</topic><topic>Optical sensors</topic><topic>Predicting</topic><topic>Segmenting</topic><topic>Surveillance</topic><topic>Threshold</topic><topic>Tracking</topic><topic>Unmanned aerial vehicles</topic><topic>Vehicle dynamics</topic><toplevel>online_resources</toplevel><creatorcontrib>Wei Ding</creatorcontrib><creatorcontrib>Zhenbang Gong</creatorcontrib><creatorcontrib>Shaorong Xie</creatorcontrib><creatorcontrib>Hairong Zou</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wei Ding</au><au>Zhenbang Gong</au><au>Shaorong Xie</au><au>Hairong Zou</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Real-time Vision-based Object Tracking from a Moving Platform in the Air</atitle><btitle>2006 IEEE/RSJ International Conference on Intelligent Robots and Systems</btitle><stitle>IROS</stitle><date>2006-10</date><risdate>2006</risdate><spage>681</spage><epage>685</epage><pages>681-685</pages><issn>2153-0858</issn><eissn>2153-0866</eissn><isbn>9781424402588</isbn><isbn>1424402581</isbn><eisbn>9781424402595</eisbn><eisbn>142440259X</eisbn><abstract>Generally the scene of the visual surveillance using one camera is confined within certain limits. If you want to extend the surveillance area, you need multiple cameras. It attempts to detect, recognize and track certain objects from image sequences. This paper presents a simple and effective approach segmenting and tracking a moving object from a moving platform in the air such as UAV or ballonet airship, etc. The moving platform can follow the tracked object during a long distance. It can be used to track the doubtful vehicle and strengthen the visual surveillance more. The proposed approach is efficient and robust. The object is searched only in a subwindow of the current frame. The position of sub-window is estimated by its position in the last two frames. The features of the object are updated in each frame. The approach produces good tracking results at a frame rate of 25 fps. It is available in tracking a moving object in various scenes</abstract><pub>IEEE</pub><doi>10.1109/IROS.2006.282612</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2153-0858 |
| ispartof | 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006, p.681-685 |
| issn | 2153-0858 2153-0866 |
| language | eng |
| recordid | cdi_ieee_primary_4058437 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Feature Extraction Image motion analysis Image segmentation Layout Lighting Optical noise Optical sensors Predicting Segmenting Surveillance Threshold Tracking Unmanned aerial vehicles Vehicle dynamics |
| title | Real-time Vision-based Object Tracking from a Moving Platform in the Air |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T20%3A08%3A26IST&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=Real-time%20Vision-based%20Object%20Tracking%20from%20a%20Moving%20Platform%20in%20the%20Air&rft.btitle=2006%20IEEE/RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems&rft.au=Wei%20Ding&rft.date=2006-10&rft.spage=681&rft.epage=685&rft.pages=681-685&rft.issn=2153-0858&rft.eissn=2153-0866&rft.isbn=9781424402588&rft.isbn_list=1424402581&rft_id=info:doi/10.1109/IROS.2006.282612&rft_dat=%3Cieee_6IE%3E4058437%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424402595&rft.eisbn_list=142440259X&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4058437&rfr_iscdi=true |