The research on target recognition and image tracking system based on high-speed DSP
After image tracking having been applied in many fields, people are now paying more and more attention to the research in finding a real-time image tracking system with preferable precision. This system is designed to be a master-slave structure based on PC and TMS320C6201(DSP). With the DSP focusin...
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creator | Yin Chunfang Zhao Dean |
description | After image tracking having been applied in many fields, people are now paying more and more attention to the research in finding a real-time image tracking system with preferable precision. This system is designed to be a master-slave structure based on PC and TMS320C6201(DSP). With the DSP focusing on image processing a real-time tracking system can be realized. The classical pattern arithmetic ATR is applied in the tracking. In the paper an effective hybrid genetic algorithm (GASA) is adopted in image segmentation. The effect of image segmentation is achieved by combining the capacity of GA to reach the global optimum with the capability of SA to gain the local search ability. A correlation tracking mode optimized by SSDA can improve the tracking probability. |
doi_str_mv | 10.1109/ICCSE.2009.5228336 |
format | Conference Proceeding |
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A correlation tracking mode optimized by SSDA can improve the tracking probability.</description><subject>ATR</subject><subject>Computer science</subject><subject>Computer science education</subject><subject>Digital signal processing</subject><subject>GASA</subject><subject>Genetic algorithms</subject><subject>Image recognition</subject><subject>Image segmentation</subject><subject>image tracking</subject><subject>Nonlinear filters</subject><subject>Real time systems</subject><subject>SSDA</subject><subject>Target recognition</subject><subject>Target tracking</subject><subject>TMS320C6201</subject><isbn>142443520X</isbn><isbn>9781424435203</isbn><isbn>9781424435210</isbn><isbn>1424435218</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UF1LAzEQjEhBW-8P6Ev-wNV83iWPclYtFBR6gm8ll-zdRe21JHnpvzdiXRiWGWaGZRG6pWRJKdH366bZrpaMEL2UjCnOqwtU6FpRwYTgklFyieb_hHzM0Dx7laY5TK5QEeMnySMk06y6Rm07Ag4QwQQ74sOEkwkDpCzZwzD55LNkJof93gyAUzD2y08DjqeYYI87E8H9pkY_jGU8QmaP27cbNOvNd4TivBfo_WnVNi_l5vV53TxsSk9rmUoujGR130shuXPSct71gtSKEyaUtZwo6JSWVYZWDOpKWlo5LZil4LQUfIHu_no9AOyOIR8ZTrvzV_gPFMpScA</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Yin Chunfang</creator><creator>Zhao Dean</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200907</creationdate><title>The research on target recognition and image tracking system based on high-speed DSP</title><author>Yin Chunfang ; Zhao Dean</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-34a527ff5453dd5c33bf407830248cc308eb8956895982e765c16d942c1ed9543</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>ATR</topic><topic>Computer science</topic><topic>Computer science education</topic><topic>Digital signal processing</topic><topic>GASA</topic><topic>Genetic algorithms</topic><topic>Image recognition</topic><topic>Image segmentation</topic><topic>image tracking</topic><topic>Nonlinear filters</topic><topic>Real time systems</topic><topic>SSDA</topic><topic>Target recognition</topic><topic>Target tracking</topic><topic>TMS320C6201</topic><toplevel>online_resources</toplevel><creatorcontrib>Yin Chunfang</creatorcontrib><creatorcontrib>Zhao Dean</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>Yin Chunfang</au><au>Zhao Dean</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The research on target recognition and image tracking system based on high-speed DSP</atitle><btitle>2009 4th International Conference on Computer Science & Education</btitle><stitle>ICCSE</stitle><date>2009-07</date><risdate>2009</risdate><spage>697</spage><epage>700</epage><pages>697-700</pages><isbn>142443520X</isbn><isbn>9781424435203</isbn><eisbn>9781424435210</eisbn><eisbn>1424435218</eisbn><abstract>After image tracking having been applied in many fields, people are now paying more and more attention to the research in finding a real-time image tracking system with preferable precision. This system is designed to be a master-slave structure based on PC and TMS320C6201(DSP). With the DSP focusing on image processing a real-time tracking system can be realized. The classical pattern arithmetic ATR is applied in the tracking. In the paper an effective hybrid genetic algorithm (GASA) is adopted in image segmentation. The effect of image segmentation is achieved by combining the capacity of GA to reach the global optimum with the capability of SA to gain the local search ability. A correlation tracking mode optimized by SSDA can improve the tracking probability.</abstract><pub>IEEE</pub><doi>10.1109/ICCSE.2009.5228336</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | ATR Computer science Computer science education Digital signal processing GASA Genetic algorithms Image recognition Image segmentation image tracking Nonlinear filters Real time systems SSDA Target recognition Target tracking TMS320C6201 |
title | The research on target recognition and image tracking system based on high-speed DSP |
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