Object detection using directional integral image
The large quantity of memory used for the process of producing the integral image, and when detecting the object using the integral image, has a lot to do with the large number of calculations that are performed. In this paper, we focus on computations when detecting the object using the integral im...
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creator | Daeha Lee Jaehong Kim |
description | The large quantity of memory used for the process of producing the integral image, and when detecting the object using the integral image, has a lot to do with the large number of calculations that are performed. In this paper, we focus on computations when detecting the object using the integral image. In order to solve the problems typical of using the integral image, we propose the directional integral image, which gives a direction to the integral image. By using the directional integral image in the object detection procedure, we are able to perform calculations actually used in the object pattern region, and so the computational quantity of the directional integral image was decreased, compared with using the integral image. |
doi_str_mv | 10.1109/URAI.2013.6677368 |
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In this paper, we focus on computations when detecting the object using the integral image. In order to solve the problems typical of using the integral image, we propose the directional integral image, which gives a direction to the integral image. 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In this paper, we focus on computations when detecting the object using the integral image. In order to solve the problems typical of using the integral image, we propose the directional integral image, which gives a direction to the integral image. By using the directional integral image in the object detection procedure, we are able to perform calculations actually used in the object pattern region, and so the computational quantity of the directional integral image was decreased, compared with using the integral image.</description><subject>Ambient intelligence</subject><subject>Directional Integral Image</subject><subject>Integral Image</subject><subject>Robots</subject><isbn>9781479911974</isbn><isbn>1479911976</isbn><isbn>9781479911950</isbn><isbn>147991195X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tqwkAUhqeLQovNA0g3eYGk58ztzCxFehEEQXQt48xJGNFYknTRt2-Krr7_3_wXIeYINSL4t_12saoloKqtJVLWPYjCk0NN3iN60k-iGIYTACCR0Vo-C9wcTxzHMvE4IV-78mfIXVum3N98OJe5G7nt_8UltPwiHptwHri4cyb2H--75Ve13nyulot1lZHMWLF2EZ0KNhlrJWpnYnCNSwloWhI8ewsaj6HRwDIYhTFEwxKSciQbS2omXm-5mZkP3_1U3v8e7sfUH9LHQrs</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Daeha Lee</creator><creator>Jaehong Kim</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201310</creationdate><title>Object detection using directional integral image</title><author>Daeha Lee ; Jaehong Kim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e48c183a6d56621485ca8f8dd07197a9e96041baf40e2a531cac5e20d3872f673</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Ambient intelligence</topic><topic>Directional Integral Image</topic><topic>Integral Image</topic><topic>Robots</topic><toplevel>online_resources</toplevel><creatorcontrib>Daeha Lee</creatorcontrib><creatorcontrib>Jaehong 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>Daeha Lee</au><au>Jaehong Kim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Object detection using directional integral image</atitle><btitle>2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)</btitle><stitle>URAI</stitle><date>2013-10</date><risdate>2013</risdate><spage>285</spage><epage>286</epage><pages>285-286</pages><eisbn>9781479911974</eisbn><eisbn>1479911976</eisbn><eisbn>9781479911950</eisbn><eisbn>147991195X</eisbn><abstract>The large quantity of memory used for the process of producing the integral image, and when detecting the object using the integral image, has a lot to do with the large number of calculations that are performed. In this paper, we focus on computations when detecting the object using the integral image. In order to solve the problems typical of using the integral image, we propose the directional integral image, which gives a direction to the integral image. By using the directional integral image in the object detection procedure, we are able to perform calculations actually used in the object pattern region, and so the computational quantity of the directional integral image was decreased, compared with using the integral image.</abstract><pub>IEEE</pub><doi>10.1109/URAI.2013.6677368</doi><tpages>2</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Ambient intelligence Directional Integral Image Integral Image Robots |
title | Object detection using directional integral image |
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