Tracking and speed estimation of selected object in video sequence
Object tracking and speed estimation is one of the important tasks in video processing. The availability of high quality and cheap video camcorders and the increasing need for automated video analysis has generated a great deal of interest in video processing algorithms. Numerous approaches for spee...
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 | 884 |
---|---|
container_issue | |
container_start_page | 881 |
container_title | |
container_volume | |
creator | Cika, Petr Zukal, Martin Libis, Zdenek Dutta, Malay Kishore |
description | Object tracking and speed estimation is one of the important tasks in video processing. The availability of high quality and cheap video camcorders and the increasing need for automated video analysis has generated a great deal of interest in video processing algorithms. Numerous approaches for speed estimation have been proposed. This paper deals with object tracking and speed estimation in a video sequence. We proposed a novel method to estimate the speed of moving object in video sequences captured with a static camcorder. The movement of object is determined by direction and speed. The article describes the algorithms used in the novel technique that were implemented in Rapidminer. One new operator for speed measurement was developed and implemented. This operator provides information about the movement of selected object in video sequence. Finally, three short shots were captured to test of the proposed solution. Results of these tests are presented at the end of this paper. |
doi_str_mv | 10.1109/TSP.2013.6614066 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6614066</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6614066</ieee_id><sourcerecordid>6614066</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-4f6ab55da2d34107107339fe033d38a00b355f062185bba5599f7c41f57ab3a33</originalsourceid><addsrcrecordid>eNpVT11LwzAUjYigzL4LvuQPtN705qN51KFOGDhY30fS3EjmbGdTBf-9BfciHDgfFy7nMHYjoBIC7F273VQ1CKy0FhK0PmOFNY2QxlqQIOX5P1_DJSty3gOAMKYG01yxh3Z03Xvq37jrA89HosApT-nDTWno-RB5pgN10xwPfj8Lnnr-nQIN8-Hzi_qOrtlFdIdMxYkXrH16bJercv36_LK8X5fJwlTKqJ1XKrg6oBRgZiDaSIAYsHEAHpWKoGvRKO-dUtZG00kRlXEeHeKC3f69TUS0O45zxfFndxqOv2c9SpQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Tracking and speed estimation of selected object in video sequence</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Cika, Petr ; Zukal, Martin ; Libis, Zdenek ; Dutta, Malay Kishore</creator><creatorcontrib>Cika, Petr ; Zukal, Martin ; Libis, Zdenek ; Dutta, Malay Kishore</creatorcontrib><description>Object tracking and speed estimation is one of the important tasks in video processing. The availability of high quality and cheap video camcorders and the increasing need for automated video analysis has generated a great deal of interest in video processing algorithms. Numerous approaches for speed estimation have been proposed. This paper deals with object tracking and speed estimation in a video sequence. We proposed a novel method to estimate the speed of moving object in video sequences captured with a static camcorder. The movement of object is determined by direction and speed. The article describes the algorithms used in the novel technique that were implemented in Rapidminer. One new operator for speed measurement was developed and implemented. This operator provides information about the movement of selected object in video sequence. Finally, three short shots were captured to test of the proposed solution. Results of these tests are presented at the end of this paper.</description><identifier>ISBN: 9781479904020</identifier><identifier>ISBN: 1479904023</identifier><identifier>EISBN: 9781479904044</identifier><identifier>EISBN: 1479904031</identifier><identifier>EISBN: 147990404X</identifier><identifier>EISBN: 9781479904037</identifier><identifier>DOI: 10.1109/TSP.2013.6614066</identifier><language>eng</language><publisher>IEEE</publisher><subject>Equations ; Estimation ; Mathematical model ; Object tracking ; speed estimation ; Vectors ; Video equipment ; Video sequences</subject><ispartof>2013 36th International Conference on Telecommunications and Signal Processing (TSP), 2013, p.881-884</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/6614066$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6614066$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Cika, Petr</creatorcontrib><creatorcontrib>Zukal, Martin</creatorcontrib><creatorcontrib>Libis, Zdenek</creatorcontrib><creatorcontrib>Dutta, Malay Kishore</creatorcontrib><title>Tracking and speed estimation of selected object in video sequence</title><title>2013 36th International Conference on Telecommunications and Signal Processing (TSP)</title><addtitle>TSP</addtitle><description>Object tracking and speed estimation is one of the important tasks in video processing. The availability of high quality and cheap video camcorders and the increasing need for automated video analysis has generated a great deal of interest in video processing algorithms. Numerous approaches for speed estimation have been proposed. This paper deals with object tracking and speed estimation in a video sequence. We proposed a novel method to estimate the speed of moving object in video sequences captured with a static camcorder. The movement of object is determined by direction and speed. The article describes the algorithms used in the novel technique that were implemented in Rapidminer. One new operator for speed measurement was developed and implemented. This operator provides information about the movement of selected object in video sequence. Finally, three short shots were captured to test of the proposed solution. Results of these tests are presented at the end of this paper.</description><subject>Equations</subject><subject>Estimation</subject><subject>Mathematical model</subject><subject>Object tracking</subject><subject>speed estimation</subject><subject>Vectors</subject><subject>Video equipment</subject><subject>Video sequences</subject><isbn>9781479904020</isbn><isbn>1479904023</isbn><isbn>9781479904044</isbn><isbn>1479904031</isbn><isbn>147990404X</isbn><isbn>9781479904037</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVT11LwzAUjYigzL4LvuQPtN705qN51KFOGDhY30fS3EjmbGdTBf-9BfciHDgfFy7nMHYjoBIC7F273VQ1CKy0FhK0PmOFNY2QxlqQIOX5P1_DJSty3gOAMKYG01yxh3Z03Xvq37jrA89HosApT-nDTWno-RB5pgN10xwPfj8Lnnr-nQIN8-Hzi_qOrtlFdIdMxYkXrH16bJercv36_LK8X5fJwlTKqJ1XKrg6oBRgZiDaSIAYsHEAHpWKoGvRKO-dUtZG00kRlXEeHeKC3f69TUS0O45zxfFndxqOv2c9SpQ</recordid><startdate>201307</startdate><enddate>201307</enddate><creator>Cika, Petr</creator><creator>Zukal, Martin</creator><creator>Libis, Zdenek</creator><creator>Dutta, Malay Kishore</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201307</creationdate><title>Tracking and speed estimation of selected object in video sequence</title><author>Cika, Petr ; Zukal, Martin ; Libis, Zdenek ; Dutta, Malay Kishore</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-4f6ab55da2d34107107339fe033d38a00b355f062185bba5599f7c41f57ab3a33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Equations</topic><topic>Estimation</topic><topic>Mathematical model</topic><topic>Object tracking</topic><topic>speed estimation</topic><topic>Vectors</topic><topic>Video equipment</topic><topic>Video sequences</topic><toplevel>online_resources</toplevel><creatorcontrib>Cika, Petr</creatorcontrib><creatorcontrib>Zukal, Martin</creatorcontrib><creatorcontrib>Libis, Zdenek</creatorcontrib><creatorcontrib>Dutta, Malay Kishore</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>Cika, Petr</au><au>Zukal, Martin</au><au>Libis, Zdenek</au><au>Dutta, Malay Kishore</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Tracking and speed estimation of selected object in video sequence</atitle><btitle>2013 36th International Conference on Telecommunications and Signal Processing (TSP)</btitle><stitle>TSP</stitle><date>2013-07</date><risdate>2013</risdate><spage>881</spage><epage>884</epage><pages>881-884</pages><isbn>9781479904020</isbn><isbn>1479904023</isbn><eisbn>9781479904044</eisbn><eisbn>1479904031</eisbn><eisbn>147990404X</eisbn><eisbn>9781479904037</eisbn><abstract>Object tracking and speed estimation is one of the important tasks in video processing. The availability of high quality and cheap video camcorders and the increasing need for automated video analysis has generated a great deal of interest in video processing algorithms. Numerous approaches for speed estimation have been proposed. This paper deals with object tracking and speed estimation in a video sequence. We proposed a novel method to estimate the speed of moving object in video sequences captured with a static camcorder. The movement of object is determined by direction and speed. The article describes the algorithms used in the novel technique that were implemented in Rapidminer. One new operator for speed measurement was developed and implemented. This operator provides information about the movement of selected object in video sequence. Finally, three short shots were captured to test of the proposed solution. Results of these tests are presented at the end of this paper.</abstract><pub>IEEE</pub><doi>10.1109/TSP.2013.6614066</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 9781479904020 |
ispartof | 2013 36th International Conference on Telecommunications and Signal Processing (TSP), 2013, p.881-884 |
issn | |
language | eng |
recordid | cdi_ieee_primary_6614066 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Equations Estimation Mathematical model Object tracking speed estimation Vectors Video equipment Video sequences |
title | Tracking and speed estimation of selected object in video sequence |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T16%3A22%3A48IST&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=Tracking%20and%20speed%20estimation%20of%20selected%20object%20in%20video%20sequence&rft.btitle=2013%2036th%20International%20Conference%20on%20Telecommunications%20and%20Signal%20Processing%20(TSP)&rft.au=Cika,%20Petr&rft.date=2013-07&rft.spage=881&rft.epage=884&rft.pages=881-884&rft.isbn=9781479904020&rft.isbn_list=1479904023&rft_id=info:doi/10.1109/TSP.2013.6614066&rft_dat=%3Cieee_6IE%3E6614066%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781479904044&rft.eisbn_list=1479904031&rft.eisbn_list=147990404X&rft.eisbn_list=9781479904037&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6614066&rfr_iscdi=true |