Improving object segmentation by reflection detection and removal

Mustafa Karaman; Lutz Goldmann; Thomas Sikora

doi:10.1117/12.805581

19 January 2009 Improving object segmentation by reflection detection and removal

Mustafa Karaman, Lutz Goldmann, Thomas Sikora

Proceedings Volume 7257, Visual Communications and Image Processing 2009; 725709 (2009) https://doi.org/10.1117/12.805581
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Mustafa Karaman, Lutz Goldmann, and Thomas Sikora "Improving object segmentation by reflection detection and removal", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725709 (19 January 2009); https://doi.org/10.1117/12.805581

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