Robust foreground extraction technique using background subtraction with multiple thresholds
Robust foreground extraction technique using background subtraction with multiple thresholds
We propose a robust method to extract silhouettes of foreground objects from color-video sequences. To cope with various changes in the background, we model the background as a Laplace distribution and update it with a selective running average and static pixel observation. All pixels in the input video image are classified into four initial regions using background subtraction with multiple thresholds. Shadow regions are eliminated using color components, and the final foreground silhouette is extracted by smoothing the boundaries of the foreground and eliminating errors inside and outside of the regions. Experimental results show that the proposed algorithm works very well in various background and foreground situations.
Background subtraction, Foreground segmentation, Silhouette extraction, Algorithms, Image coding, Pixels, Video streaming, Feature extraction
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
1 September 2007
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.
(2007)
Robust foreground extraction technique using background subtraction with multiple thresholds.
Optical Engineering, 46 (9), [097004].
(doi:10.1117/1.2779022).
Abstract
We propose a robust method to extract silhouettes of foreground objects from color-video sequences. To cope with various changes in the background, we model the background as a Laplace distribution and update it with a selective running average and static pixel observation. All pixels in the input video image are classified into four initial regions using background subtraction with multiple thresholds. Shadow regions are eliminated using color components, and the final foreground silhouette is extracted by smoothing the boundaries of the foreground and eliminating errors inside and outside of the regions. Experimental results show that the proposed algorithm works very well in various background and foreground situations.
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Published date: 1 September 2007
Additional Information:
Cited By :22
Export Date: 30 April 2020
CODEN: OPEGA
Keywords:
Background subtraction, Foreground segmentation, Silhouette extraction, Algorithms, Image coding, Pixels, Video streaming, Feature extraction
Identifiers
Local EPrints ID: 440551
URI: http://eprints.soton.ac.uk/id/eprint/440551
ISSN: 0091-3286
PURE UUID: 56fb34df-97cd-4387-a230-9ab599c9cb5f
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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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