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Authors: Du-Ming Tsai and Wei-Yao Chiu

Affiliation: Yuan-Ze University, Taiwan

ISBN: 978-989-8565-47-1

ISSN: 2184-4321

Keyword(s): Background Updating, Foreground Segmentation, Object Detection, Mode Estimation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: In video surveillance, the detection of foreground objects in an image sequence from a still camera is critical for object tracking, activity recognition, and behavior understanding. In this paper, a dual-mode scheme for foreground segmentation is proposed. The mode is based on the most frequently occurring gray level of observed consecutive image frames, and is used to represent the background in the scene. In order to accommodate the dynamic changes of a background, the proposed method uses a dual-mode model for background representation. The dual-mode model can represent two main states of the background and detect a more complete silhouette of the foreground object in the dynamic background. The proposed method can promptly calculate the exact gray-level mode of individual pixels in image sequences by simply dropping the last image frame and adding the current image in an observed period. The comparative evaluation of foreground segmentation methods is performed on the Microsoft’s Wallflower dataset. The results show that the proposed method can quickly respond to illumination changes and well extract foreground objects in a low-contrast background. (More)

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Paper citation in several formats:
Tsai, D. and Chiu, W. (2013). Dual-mode Detection for Foreground Segmentation in Low-contrast Video Images.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, ISSN 2184-4321, pages 431-435. DOI: 10.5220/0004216004310435

@conference{visapp13,
author={Du{-}Ming Tsai. and Wei{-}Yao Chiu.},
title={Dual-mode Detection for Foreground Segmentation in Low-contrast Video Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={431-435},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004216004310435},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Dual-mode Detection for Foreground Segmentation in Low-contrast Video Images
SN - 978-989-8565-47-1
AU - Tsai, D.
AU - Chiu, W.
PY - 2013
SP - 431
EP - 435
DO - 10.5220/0004216004310435

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