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Proceedings Paper

Improving object segmentation by reflection detection and removal
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Paper Abstract

For object analysis in videos such as in video surveillance systems, the preliminary segmentation step is very important. Many segmentation methods using static camera have been proposed in the last decade, but they all suffer in occurrance of object reflection especially on the ground, i.e. reflected regions are also segmented as foregrounds. We present a new method which detects the border between the real object and its reflection. Experiments show that an outstanding improvement of segmentation results are obtained by removing the reflection part of the over-segmented objects.

Paper Details

Date Published: 19 January 2009
PDF: 12 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725709 (19 January 2009); doi: 10.1117/12.805581
Show Author Affiliations
Mustafa Karaman, Technical Univ. of Berlin (Germany)
Lutz Goldmann, Technical Univ. of Berlin (Germany)
Thomas Sikora, Technical Univ. of Berlin (Germany)


Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

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