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Authors: Wei Wang ; Weili Li ; Xiaoqing Yin ; Yu Liu and Maojun Zhang

Affiliation: National University of Defense Technology, China

Keyword(s): Foreground Segmentation, Moving Cameras, Trajectory Classification, Marker-controlled Watershed Segmentation.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Clustering ; Computer Vision, Visualization and Computer Graphics ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Signal Processing ; Software Engineering ; Theory and Methods ; Video Analysis

Abstract: A foreground segmentation method, including image enhancement, trajectory classification and object segmentation, is proposed for moving cameras under low illumination conditions. Gradient-field-based image enhancement is designed to enhance low-contrast images. On the basis of the dense point trajectories obtained in long frames sequences, a simple and effective clustering algorithm is designed to classify foreground and background trajectories. By combining trajectory points and a marker-controlled watershed algorithm, a new type of foreground labeling algorithm is proposed to effectively reduce computing costs and improve edge-preserving performance. Experimental results demonstrate the promising performance of the proposed approach compared with other competing methods.

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Paper citation in several formats:
Wang, W. ; Li, W. ; Yin, X. ; Liu, Y. and Zhang, M. (2016). Foreground Segmentation for Moving Cameras under Low Illumination Conditions. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 65-71. DOI: 10.5220/0005695100650071

@conference{icpram16,
author={Wei Wang and Weili Li and Xiaoqing Yin and Yu Liu and Maojun Zhang},
title={Foreground Segmentation for Moving Cameras under Low Illumination Conditions},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2016},
pages={65-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005695100650071},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Foreground Segmentation for Moving Cameras under Low Illumination Conditions
SN - 978-989-758-173-1
IS - 2184-4313
AU - Wang, W.
AU - Li, W.
AU - Yin, X.
AU - Liu, Y.
AU - Zhang, M.
PY - 2016
SP - 65
EP - 71
DO - 10.5220/0005695100650071
PB - SciTePress