IEICE TRANSACTIONS on Information
Novel Thresholding Algorithm for Change Detection in Video Sequence
Summary :
A novel thresholding algorithm for change detection in video sequences is proposed. The method is based on image differencing and the intensity distribution of a difference image. With a difference image between two consecutive images, we prepare a new image model for the distribution of stationary pixels. The distribution of moving pixels is then separated by extracting the distribution of stationary pixels from the overall distribution of the difference image. Pixels that exhibit a significant change in intensity are classified using a likelihood criterion. The proposed algorithm is tested on the standard MPEG sequences and verified to have reliable performance.
- Publication
- IEICE TRANSACTIONS on Information Vol.E87-D No.5 pp.1271-1275
- Publication Date
- 2004/05/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Pattern Recognition
Authors
Keyword
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Byung-Gyu KIM, Dong-Jo PARK, "Novel Thresholding Algorithm for Change Detection in Video Sequence" in IEICE TRANSACTIONS on Information,
vol. E87-D, no. 5, pp. 1271-1275, May 2004, doi: .
Abstract: A novel thresholding algorithm for change detection in video sequences is proposed. The method is based on image differencing and the intensity distribution of a difference image. With a difference image between two consecutive images, we prepare a new image model for the distribution of stationary pixels. The distribution of moving pixels is then separated by extracting the distribution of stationary pixels from the overall distribution of the difference image. Pixels that exhibit a significant change in intensity are classified using a likelihood criterion. The proposed algorithm is tested on the standard MPEG sequences and verified to have reliable performance.
URL: https://global.ieice.org/en_transactions/information/10.1587/e87-d_5_1271/_p
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@ARTICLE{e87-d_5_1271,
author={Byung-Gyu KIM, Dong-Jo PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Novel Thresholding Algorithm for Change Detection in Video Sequence},
year={2004},
volume={E87-D},
number={5},
pages={1271-1275},
abstract={A novel thresholding algorithm for change detection in video sequences is proposed. The method is based on image differencing and the intensity distribution of a difference image. With a difference image between two consecutive images, we prepare a new image model for the distribution of stationary pixels. The distribution of moving pixels is then separated by extracting the distribution of stationary pixels from the overall distribution of the difference image. Pixels that exhibit a significant change in intensity are classified using a likelihood criterion. The proposed algorithm is tested on the standard MPEG sequences and verified to have reliable performance.},
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - Novel Thresholding Algorithm for Change Detection in Video Sequence
T2 - IEICE TRANSACTIONS on Information
SP - 1271
EP - 1275
AU - Byung-Gyu KIM
AU - Dong-Jo PARK
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2004
AB - A novel thresholding algorithm for change detection in video sequences is proposed. The method is based on image differencing and the intensity distribution of a difference image. With a difference image between two consecutive images, we prepare a new image model for the distribution of stationary pixels. The distribution of moving pixels is then separated by extracting the distribution of stationary pixels from the overall distribution of the difference image. Pixels that exhibit a significant change in intensity are classified using a likelihood criterion. The proposed algorithm is tested on the standard MPEG sequences and verified to have reliable performance.
ER -
English
