Background subtraction using generalised Gaussian family model
Background subtraction using generalised Gaussian family model
Proposed is a robust method to detect foreground regions from colour video sequences using a generalised Gaussian family model and multiple thresholds. Experiments show that the proposed algorithm works better than conventional approaches in various environments. © The Institution of Engineering and Technology 2008.
Algorithms, Gaussian distribution, Mathematical models, Background subtraction, Foreground regions, Gaussian family model, Multiple thresholds, Image analysis
189-190
Kim, H.
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Sakamoto, R.
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Kitahara, I.
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Toriyama, T.
060a3980-f003-4b15-b0fb-7e9e99acc471
Kogure, K.
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7 February 2008
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Sakamoto, R.
6cdb329c-4cb0-42d6-b4b0-68b448304398
Kitahara, I.
13b48c1f-8b52-4b65-9f98-e00c2bee22df
Toriyama, T.
060a3980-f003-4b15-b0fb-7e9e99acc471
Kogure, K.
9862d198-bf93-48a3-a954-dd8bce232b8b
Kim, H., Sakamoto, R., Kitahara, I., Toriyama, T. and Kogure, K.
(2008)
Background subtraction using generalised Gaussian family model.
Electronics Letters, 44 (3), .
(doi:10.1049/el:20083126).
Abstract
Proposed is a robust method to detect foreground regions from colour video sequences using a generalised Gaussian family model and multiple thresholds. Experiments show that the proposed algorithm works better than conventional approaches in various environments. © The Institution of Engineering and Technology 2008.
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Published date: 7 February 2008
Additional Information:
Cited By :16
Export Date: 30 April 2020
CODEN: ELLEA
Keywords:
Algorithms, Gaussian distribution, Mathematical models, Background subtraction, Foreground regions, Gaussian family model, Multiple thresholds, Image analysis
Identifiers
Local EPrints ID: 440555
URI: http://eprints.soton.ac.uk/id/eprint/440555
ISSN: 0013-5194
PURE UUID: 56bce554-a10b-4903-ba7d-e28d49597cc6
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Date deposited: 07 May 2020 16:31
Last modified: 17 Mar 2024 04:01
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Contributors
Author:
H. Kim
Author:
R. Sakamoto
Author:
I. Kitahara
Author:
T. Toriyama
Author:
K. Kogure
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