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Background subtraction using generalised Gaussian family model

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
0013-5194
189-190
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.
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), 189-190. (doi:10.1049/el:20083126).

Record type: Article

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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More information

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
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

Catalogue record

Date deposited: 07 May 2020 16:31
Last modified: 23 May 2020 00:47

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