Vision-Based Production of Personalized Video
Vision-Based Production of Personalized Video
In this paper we present a novel vision-based system for the automated production of personalised video souvenirs for visitors in leisure and cultural heritage venues. Visitors are visually identified and tracked through a camera network. The system produces a personalized DVD souvenir at the end of a visitor’s stay allowing visitors to relive their experiences. We analyze how we identify visitors by fusing facial and body features, how we track visitors, how the tracker recovers from failures due to occlusions, as well as how we annotate and compile the final product. Our experiments demonstrate the feasibility of the proposed approach.
158-176
Kosmopoulos, D.I.
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Doulamis, A.
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Makris, A.
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Doulamis, N.
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Chatzis, S.
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Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
2009
Kosmopoulos, D.I.
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Doulamis, A.
aadbc7d4-0c04-4b09-b0e9-47545ed88fd9
Makris, A.
70c0e79a-f85c-480a-9497-daa1bfdd0cba
Doulamis, N.
9a095ef7-fbef-40de-82f3-3fa54c22c40c
Chatzis, S.
15dfd61d-9a83-4fad-a7ba-594fcd7808b1
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Kosmopoulos, D.I., Doulamis, A., Makris, A., Doulamis, N., Chatzis, S. and Middleton, Stuart
(2009)
Vision-Based Production of Personalized Video.
Signal Processing: Image Communication, 24, .
Abstract
In this paper we present a novel vision-based system for the automated production of personalised video souvenirs for visitors in leisure and cultural heritage venues. Visitors are visually identified and tracked through a camera network. The system produces a personalized DVD souvenir at the end of a visitor’s stay allowing visitors to relive their experiences. We analyze how we identify visitors by fusing facial and body features, how we track visitors, how the tracker recovers from failures due to occlusions, as well as how we annotate and compile the final product. Our experiments demonstrate the feasibility of the proposed approach.
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Published date: 2009
Organisations:
Electronics & Computer Science, IT Innovation
Identifiers
Local EPrints ID: 268437
URI: http://eprints.soton.ac.uk/id/eprint/268437
PURE UUID: cab1307a-bd4c-46e7-87c9-4fdaa744f95e
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Date deposited: 29 Jan 2010 16:14
Last modified: 15 Mar 2024 03:08
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Contributors
Author:
D.I. Kosmopoulos
Author:
A. Doulamis
Author:
A. Makris
Author:
N. Doulamis
Author:
S. Chatzis
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