A method for decision fusion of target trackers running on different band image sequences
In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the vis...
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| creator | Cakir, S. Karali, A. O. Aytac, T. |
| description | In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the visual and infrared bands. The target locations obtained from each tracker are fused using the proposed method. The experimental studies show that, the proposed tracker decision fusion scheme makes the tracker more robust to track loss conditions. |
| doi_str_mv | 10.1109/SIU.2012.6204589 |
| format | Conference Proceeding |
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O. ; Aytac, T.</creator><creatorcontrib>Cakir, S. ; Karali, A. O. ; Aytac, T.</creatorcontrib><description>In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the visual and infrared bands. The target locations obtained from each tracker are fused using the proposed method. 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O.</creatorcontrib><creatorcontrib>Aytac, T.</creatorcontrib><title>A method for decision fusion of target trackers running on different band image sequences</title><title>2012 20th Signal Processing and Communications Applications Conference (SIU)</title><addtitle>SIU</addtitle><description>In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the visual and infrared bands. The target locations obtained from each tracker are fused using the proposed method. The experimental studies show that, the proposed tracker decision fusion scheme makes the tracker more robust to track loss conditions.</description><subject>Abstracts</subject><subject>Correlation</subject><subject>Feature extraction</subject><subject>Image sequences</subject><subject>Pattern recognition</subject><subject>Target tracking</subject><subject>Visualization</subject><issn>2165-0608</issn><issn>2693-3616</issn><isbn>9781467300551</isbn><isbn>1467300551</isbn><isbn>146730056X</isbn><isbn>1467300535</isbn><isbn>1467300543</isbn><isbn>9781467300568</isbn><isbn>9781467300544</isbn><isbn>9781467300537</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9zz1PwzAUhWHzJVFKdiSW-wcS7rUbNx5RRQUzIMFUucl1MFAHbGfovydCZWV6h-csR4grwooIzc3jw3MlkWSlJS7qxhyJC1ropUKs9cuxmEltVKk06RNRmGXzZzWdTka6LlFjcy6KlN4RkXQjlZEz8XoLO85vQwduiNBx65MfArjxN4ODbGPPGXK07QfHBHEMwYceJu28cxw5ZNja0IHf2Z4h8ffIoeV0Kc6c_UxcHDoX1-u7p9V96Zl58xWnedxvDm_U__oDd55IeQ</recordid><startdate>201204</startdate><enddate>201204</enddate><creator>Cakir, S.</creator><creator>Karali, A. 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O.</creatorcontrib><creatorcontrib>Aytac, T.</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>Cakir, S.</au><au>Karali, A. O.</au><au>Aytac, T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A method for decision fusion of target trackers running on different band image sequences</atitle><btitle>2012 20th Signal Processing and Communications Applications Conference (SIU)</btitle><stitle>SIU</stitle><date>2012-04</date><risdate>2012</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2165-0608</issn><eissn>2693-3616</eissn><isbn>9781467300551</isbn><isbn>1467300551</isbn><eisbn>146730056X</eisbn><eisbn>1467300535</eisbn><eisbn>1467300543</eisbn><eisbn>9781467300568</eisbn><eisbn>9781467300544</eisbn><eisbn>9781467300537</eisbn><abstract>In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the visual and infrared bands. The target locations obtained from each tracker are fused using the proposed method. The experimental studies show that, the proposed tracker decision fusion scheme makes the tracker more robust to track loss conditions.</abstract><pub>IEEE</pub><doi>10.1109/SIU.2012.6204589</doi></addata></record> |
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| ispartof | 2012 20th Signal Processing and Communications Applications Conference (SIU), 2012, p.1-4 |
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| language | eng |
| recordid | cdi_ieee_primary_6204589 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Abstracts Correlation Feature extraction Image sequences Pattern recognition Target tracking Visualization |
| title | A method for decision fusion of target trackers running on different band image sequences |
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