Loading…
Multiple 3D object position estimation and tracking using double filtering on multi-core processor
We present a new algorithm to tracking multiple 3D objects that has robustness, real-time processing ability and fast object registration. Usually, many augmented reality applications want to track 3D object using natural features in real-time, more accuracy and want to register target object immedi...
Saved in:
Published in: | Multimedia tools and applications 2013-03, Vol.63 (1), p.161-180 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c349t-86899c8152a39858a92ab3418f4790a4ad71a26c57271b15264d52edc84acd883 |
---|---|
cites | cdi_FETCH-LOGICAL-c349t-86899c8152a39858a92ab3418f4790a4ad71a26c57271b15264d52edc84acd883 |
container_end_page | 180 |
container_issue | 1 |
container_start_page | 161 |
container_title | Multimedia tools and applications |
container_volume | 63 |
creator | Park, Jin-hyung Rho, Seungmin Jeong, Chang-sung Kim, Jongik |
description | We present a new algorithm to tracking multiple 3D objects that has robustness, real-time processing ability and fast object registration. Usually, many augmented reality applications want to track 3D object using natural features in real-time, more accuracy and want to register target object immediately in few seconds. Prevalent object tracking algorithm uses FERN for feature extraction that takes long time to register and learning target object for high quality performance. Our method provides not only high accuracy but also fast target object registering time about 0.3 ms in same environment and real-time processing. These features are presented by using SURF, ROI, double robust filtering and optimized multi-core parallelization. Using our methods, tracking multiple 3D objects with fast and high accuracy is available. |
doi_str_mv | 10.1007/s11042-012-1029-9 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1323248920</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1323248920</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-86899c8152a39858a92ab3418f4790a4ad71a26c57271b15264d52edc84acd883</originalsourceid><addsrcrecordid>eNp1kMtOxCAUhonRxPHyAO6auHGDcrgUWJrxmoxxo2tCKTUdO6VCu_DtpdaFMXEDJ-T7f04-hM6AXAIh8ioBEE4xAYqBUI31HlqBkAxLSWE_z0wRLAWBQ3SU0pYQKAXlK1Q9Td3YDp0v2E0Rqq13YzGE1I5t6AufxnZnv0fb18UYrXtv-7diSvNZh6nKuabtRh_nh4zt5jbsQvTFEIPzKYV4gg4a2yV_-nMfo9e725f1A9483z-urzfYMa5HrEqltVMgqGVaCWU1tRXjoBouNbHc1hIsLZ2QVEKVsZLXgvraKW5drRQ7RhdLb_75Y8q7m12bnO862_swJQOMMsqVpiSj53_QbZhin7fLVK6mWsiZgoVyMaQUfWOGmH3ETwPEzNbNYt1k62a2bnTO0CWThtmJj7-a_w19AdujhCo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1315229570</pqid></control><display><type>article</type><title>Multiple 3D object position estimation and tracking using double filtering on multi-core processor</title><source>ABI/INFORM Global</source><source>Springer Nature</source><creator>Park, Jin-hyung ; Rho, Seungmin ; Jeong, Chang-sung ; Kim, Jongik</creator><creatorcontrib>Park, Jin-hyung ; Rho, Seungmin ; Jeong, Chang-sung ; Kim, Jongik</creatorcontrib><description>We present a new algorithm to tracking multiple 3D objects that has robustness, real-time processing ability and fast object registration. Usually, many augmented reality applications want to track 3D object using natural features in real-time, more accuracy and want to register target object immediately in few seconds. Prevalent object tracking algorithm uses FERN for feature extraction that takes long time to register and learning target object for high quality performance. Our method provides not only high accuracy but also fast target object registering time about 0.3 ms in same environment and real-time processing. These features are presented by using SURF, ROI, double robust filtering and optimized multi-core parallelization. Using our methods, tracking multiple 3D objects with fast and high accuracy is available.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-012-1029-9</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>3-D graphics ; Accuracy ; Algorithms ; Analysis ; Augmented reality ; Computer Communication Networks ; Computer engineering ; Computer Science ; Data Structures and Information Theory ; Filtering ; Filtration ; Kalman filters ; Localization ; Methods ; Multimedia computer applications ; Multimedia Information Systems ; Parks & recreation areas ; Real time ; Registers ; Registration ; Robustness ; Special Purpose and Application-Based Systems ; Studies ; Three dimensional ; Tracking ; Tracking control systems</subject><ispartof>Multimedia tools and applications, 2013-03, Vol.63 (1), p.161-180</ispartof><rights>Springer Science+Business Media, LLC 2012</rights><rights>Springer Science+Business Media New York 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-86899c8152a39858a92ab3418f4790a4ad71a26c57271b15264d52edc84acd883</citedby><cites>FETCH-LOGICAL-c349t-86899c8152a39858a92ab3418f4790a4ad71a26c57271b15264d52edc84acd883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1315229570/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1315229570?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,36061,44363,74895</link.rule.ids></links><search><creatorcontrib>Park, Jin-hyung</creatorcontrib><creatorcontrib>Rho, Seungmin</creatorcontrib><creatorcontrib>Jeong, Chang-sung</creatorcontrib><creatorcontrib>Kim, Jongik</creatorcontrib><title>Multiple 3D object position estimation and tracking using double filtering on multi-core processor</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>We present a new algorithm to tracking multiple 3D objects that has robustness, real-time processing ability and fast object registration. Usually, many augmented reality applications want to track 3D object using natural features in real-time, more accuracy and want to register target object immediately in few seconds. Prevalent object tracking algorithm uses FERN for feature extraction that takes long time to register and learning target object for high quality performance. Our method provides not only high accuracy but also fast target object registering time about 0.3 ms in same environment and real-time processing. These features are presented by using SURF, ROI, double robust filtering and optimized multi-core parallelization. Using our methods, tracking multiple 3D objects with fast and high accuracy is available.</description><subject>3-D graphics</subject><subject>Accuracy</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Augmented reality</subject><subject>Computer Communication Networks</subject><subject>Computer engineering</subject><subject>Computer Science</subject><subject>Data Structures and Information Theory</subject><subject>Filtering</subject><subject>Filtration</subject><subject>Kalman filters</subject><subject>Localization</subject><subject>Methods</subject><subject>Multimedia computer applications</subject><subject>Multimedia Information Systems</subject><subject>Parks & recreation areas</subject><subject>Real time</subject><subject>Registers</subject><subject>Registration</subject><subject>Robustness</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Studies</subject><subject>Three dimensional</subject><subject>Tracking</subject><subject>Tracking control systems</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1kMtOxCAUhonRxPHyAO6auHGDcrgUWJrxmoxxo2tCKTUdO6VCu_DtpdaFMXEDJ-T7f04-hM6AXAIh8ioBEE4xAYqBUI31HlqBkAxLSWE_z0wRLAWBQ3SU0pYQKAXlK1Q9Td3YDp0v2E0Rqq13YzGE1I5t6AufxnZnv0fb18UYrXtv-7diSvNZh6nKuabtRh_nh4zt5jbsQvTFEIPzKYV4gg4a2yV_-nMfo9e725f1A9483z-urzfYMa5HrEqltVMgqGVaCWU1tRXjoBouNbHc1hIsLZ2QVEKVsZLXgvraKW5drRQ7RhdLb_75Y8q7m12bnO862_swJQOMMsqVpiSj53_QbZhin7fLVK6mWsiZgoVyMaQUfWOGmH3ETwPEzNbNYt1k62a2bnTO0CWThtmJj7-a_w19AdujhCo</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Park, Jin-hyung</creator><creator>Rho, Seungmin</creator><creator>Jeong, Chang-sung</creator><creator>Kim, Jongik</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20130301</creationdate><title>Multiple 3D object position estimation and tracking using double filtering on multi-core processor</title><author>Park, Jin-hyung ; Rho, Seungmin ; Jeong, Chang-sung ; Kim, Jongik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-86899c8152a39858a92ab3418f4790a4ad71a26c57271b15264d52edc84acd883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>3-D graphics</topic><topic>Accuracy</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Augmented reality</topic><topic>Computer Communication Networks</topic><topic>Computer engineering</topic><topic>Computer Science</topic><topic>Data Structures and Information Theory</topic><topic>Filtering</topic><topic>Filtration</topic><topic>Kalman filters</topic><topic>Localization</topic><topic>Methods</topic><topic>Multimedia computer applications</topic><topic>Multimedia Information Systems</topic><topic>Parks & recreation areas</topic><topic>Real time</topic><topic>Registers</topic><topic>Registration</topic><topic>Robustness</topic><topic>Special Purpose and Application-Based Systems</topic><topic>Studies</topic><topic>Three dimensional</topic><topic>Tracking</topic><topic>Tracking control systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Jin-hyung</creatorcontrib><creatorcontrib>Rho, Seungmin</creatorcontrib><creatorcontrib>Jeong, Chang-sung</creatorcontrib><creatorcontrib>Kim, Jongik</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Jin-hyung</au><au>Rho, Seungmin</au><au>Jeong, Chang-sung</au><au>Kim, Jongik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple 3D object position estimation and tracking using double filtering on multi-core processor</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2013-03-01</date><risdate>2013</risdate><volume>63</volume><issue>1</issue><spage>161</spage><epage>180</epage><pages>161-180</pages><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>We present a new algorithm to tracking multiple 3D objects that has robustness, real-time processing ability and fast object registration. Usually, many augmented reality applications want to track 3D object using natural features in real-time, more accuracy and want to register target object immediately in few seconds. Prevalent object tracking algorithm uses FERN for feature extraction that takes long time to register and learning target object for high quality performance. Our method provides not only high accuracy but also fast target object registering time about 0.3 ms in same environment and real-time processing. These features are presented by using SURF, ROI, double robust filtering and optimized multi-core parallelization. Using our methods, tracking multiple 3D objects with fast and high accuracy is available.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s11042-012-1029-9</doi><tpages>20</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1380-7501 |
ispartof | Multimedia tools and applications, 2013-03, Vol.63 (1), p.161-180 |
issn | 1380-7501 1573-7721 |
language | eng |
recordid | cdi_proquest_miscellaneous_1323248920 |
source | ABI/INFORM Global; Springer Nature |
subjects | 3-D graphics Accuracy Algorithms Analysis Augmented reality Computer Communication Networks Computer engineering Computer Science Data Structures and Information Theory Filtering Filtration Kalman filters Localization Methods Multimedia computer applications Multimedia Information Systems Parks & recreation areas Real time Registers Registration Robustness Special Purpose and Application-Based Systems Studies Three dimensional Tracking Tracking control systems |
title | Multiple 3D object position estimation and tracking using double filtering on multi-core processor |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T23%3A58%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multiple%203D%20object%20position%20estimation%20and%20tracking%20using%20double%20filtering%20on%20multi-core%20processor&rft.jtitle=Multimedia%20tools%20and%20applications&rft.au=Park,%20Jin-hyung&rft.date=2013-03-01&rft.volume=63&rft.issue=1&rft.spage=161&rft.epage=180&rft.pages=161-180&rft.issn=1380-7501&rft.eissn=1573-7721&rft_id=info:doi/10.1007/s11042-012-1029-9&rft_dat=%3Cproquest_cross%3E1323248920%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c349t-86899c8152a39858a92ab3418f4790a4ad71a26c57271b15264d52edc84acd883%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1315229570&rft_id=info:pmid/&rfr_iscdi=true |