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Measuring the quality of figure/ground segmentations

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2 Author(s)
Arens, Michael ; Fraunhofer Inst. of Optronics, Syst. Technol. & Image Exploitation, Ettlingen, Germany ; Anderer, C.

Figure/Ground segmentation is of great interest within the analysis of video streams. We propose a new, continuous evaluation measure for figure/ground segmentation algorithms which allows for assessing the quality of a segmentation. The evaluation approach is based on set similarities and logic-motivated considerations. Results obtained with the new measure are shown for several well-known algorithms. Compared to existing detection rate/false alarm considerations, the proposed measure reveals advantages and shortcommings of different algorithms much better and can therefore be used as a selection criterion.

Published in:

Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on

Date of Conference:

13-18 June 2010