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Christian Bailer, Alain Pagani, and Didier Stricker, A user supported object tracking framework for interactive video production. Journal of Virtual Reality and Broadcasting, 11(2014), no. 9. (urn:nbn:de:0009-6-40305)

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%0 Journal Article
%T A user supported object tracking framework for interactive video production
%A Bailer, Christian
%A Pagani, Alain
%A Stricker, Didier
%J Journal of Virtual Reality and Broadcasting
%D 2014
%V 11(2014)
%N 9
%@ 1860-2037
%F bailer2014
%X We present a user supported tracking framework that combines automatic tracking with extended user input to create error free tracking results that are suitable for interactive video production. The goal of our approach is to keep the necessary user input as small as possible. In our framework, the user can select between different tracking algorithms - existing ones and new ones that are described in this paper. Furthermore, the user can automatically fuse the results of different tracking algorithms with our robust fusion approach. The tracked object can be marked in more than one frame, which can significantly improve the tracking result. After tracking, the user can validate the results in an easy way, thanks to the support of a powerful interpolation technique. The tracking results are iteratively improved until the complete track has been found. After the iterative editing process the tracking result of each object is stored in an interactive video file that can be loaded by our player for interactive videos.
%L 004
%K data fusion
%K interactive tracking
%K interactive video
%K tracking methods
%K web applications
%R 10.20385/1860-2037/11.2014.9
%U http://nbn-resolving.de/urn:nbn:de:0009-6-40305
%U http://dx.doi.org/10.20385/1860-2037/11.2014.9

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Bibtex

@Article{bailer2014,
  author = 	"Bailer, Christian
		and Pagani, Alain
		and Stricker, Didier",
  title = 	"A user supported object tracking framework for interactive video production",
  journal = 	"Journal of Virtual Reality and Broadcasting",
  year = 	"2014",
  volume = 	"11(2014)",
  number = 	"9",
  keywords = 	"data fusion; interactive tracking; interactive video; tracking methods; web applications",
  abstract = 	"We present a user supported tracking framework that combines automatic tracking with extended user input to create error free tracking results that are suitable for interactive video production. The goal of our approach is to keep the necessary user input as small as possible. In our framework, the user can select between different tracking algorithms - existing ones and new ones that are described in this paper. Furthermore, the user can automatically fuse the results of different tracking algorithms with our robust fusion approach. The tracked object can be marked in more than one frame, which can significantly improve the tracking result. After tracking, the user can validate the results in an easy way, thanks to the support of a powerful interpolation technique. The tracking results are iteratively improved until the complete track has been found. After the iterative editing process the tracking result of each object is stored in an interactive video file that can be loaded by our player for interactive videos.",
  issn = 	"1860-2037",
  doi = 	"10.20385/1860-2037/11.2014.9",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-6-40305"
}

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RIS

TY  - JOUR
AU  - Bailer, Christian
AU  - Pagani, Alain
AU  - Stricker, Didier
PY  - 2014
DA  - 2014//
TI  - A user supported object tracking framework for interactive video production
JO  - Journal of Virtual Reality and Broadcasting
VL  - 11(2014)
IS  - 9
KW  - data fusion
KW  - interactive tracking
KW  - interactive video
KW  - tracking methods
KW  - web applications
AB  - We present a user supported tracking framework that combines automatic tracking with extended user input to create error free tracking results that are suitable for interactive video production. The goal of our approach is to keep the necessary user input as small as possible. In our framework, the user can select between different tracking algorithms - existing ones and new ones that are described in this paper. Furthermore, the user can automatically fuse the results of different tracking algorithms with our robust fusion approach. The tracked object can be marked in more than one frame, which can significantly improve the tracking result. After tracking, the user can validate the results in an easy way, thanks to the support of a powerful interpolation technique. The tracking results are iteratively improved until the complete track has been found. After the iterative editing process the tracking result of each object is stored in an interactive video file that can be loaded by our player for interactive videos.
SN  - 1860-2037
UR  - http://nbn-resolving.de/urn:nbn:de:0009-6-40305
DO  - 10.20385/1860-2037/11.2014.9
ID  - bailer2014
ER  - 
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Wordbib

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<b:Issue>9</b:Issue>
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<b:Comments>We present a user supported tracking framework that combines automatic tracking with extended user input to create error free tracking results that are suitable for interactive video production. The goal of our approach is to keep the necessary user input as small as possible. In our framework, the user can select between different tracking algorithms - existing ones and new ones that are described in this paper. Furthermore, the user can automatically fuse the results of different tracking algorithms with our robust fusion approach. The tracked object can be marked in more than one frame, which can significantly improve the tracking result. After tracking, the user can validate the results in an easy way, thanks to the support of a powerful interpolation technique. The tracking results are iteratively improved until the complete track has been found. After the iterative editing process the tracking result of each object is stored in an interactive video file that can be loaded by our player for interactive videos.</b:Comments>
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ISI

PT Journal
AU Bailer, C
   Pagani, A
   Stricker, D
TI A user supported object tracking framework for interactive video production
SO Journal of Virtual Reality and Broadcasting
PY 2014
VL 11(2014)
IS 9
DI 10.20385/1860-2037/11.2014.9
DE data fusion; interactive tracking; interactive video; tracking methods; web applications
AB We present a user supported tracking framework that combines automatic tracking with extended user input to create error free tracking results that are suitable for interactive video production. The goal of our approach is to keep the necessary user input as small as possible. In our framework, the user can select between different tracking algorithms - existing ones and new ones that are described in this paper. Furthermore, the user can automatically fuse the results of different tracking algorithms with our robust fusion approach. The tracked object can be marked in more than one frame, which can significantly improve the tracking result. After tracking, the user can validate the results in an easy way, thanks to the support of a powerful interpolation technique. The tracking results are iteratively improved until the complete track has been found. After the iterative editing process the tracking result of each object is stored in an interactive video file that can be loaded by our player for interactive videos.
ER

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Mods

<mods>
  <titleInfo>
    <title>A user supported object tracking framework for interactive video production</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Bailer</namePart>
    <namePart type="given">Christian</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Pagani</namePart>
    <namePart type="given">Alain</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Stricker</namePart>
    <namePart type="given">Didier</namePart>
  </name>
  <abstract>We present a user supported tracking framework that combines automatic tracking with extended user input to create error free tracking results that are suitable for interactive video production. The goal of our approach is to keep the necessary user input as small as possible. In our framework, the user can select between different tracking algorithms - existing ones and new ones that are described in this paper. Furthermore, the user can automatically fuse the results of different tracking algorithms with our robust fusion approach. The tracked object can be marked in more than one frame, which can significantly improve the tracking result. After tracking, the user can validate the results in an easy way, thanks to the support of a powerful interpolation technique. The tracking results are iteratively improved until the complete track has been found. After the iterative editing process the tracking result of each object is stored in an interactive video file that can be loaded by our player for interactive videos.</abstract>
  <subject>
    <topic>data fusion</topic>
    <topic>interactive tracking</topic>
    <topic>interactive video</topic>
    <topic>tracking methods</topic>
    <topic>web applications</topic>
  </subject>
  <classification authority="ddc">004</classification>
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    <genre authority="marcgt">periodical</genre>
    <genre>academic journal</genre>
    <titleInfo>
      <title>Journal of Virtual Reality and Broadcasting</title>
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    <part>
      <detail type="volume">
        <number>11(2014)</number>
      </detail>
      <detail type="issue">
        <number>9</number>
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      <date>2014</date>
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  <identifier type="issn">1860-2037</identifier>
  <identifier type="urn">urn:nbn:de:0009-6-40305</identifier>
  <identifier type="doi">10.20385/1860-2037/11.2014.9</identifier>
  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-6-40305</identifier>
  <identifier type="citekey">bailer2014</identifier>
</mods>
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