Directional votes of optical flow projections for independent motion detection

Authors:
László Czúni;Mónika Gál
Affiliations:
Department of Electrical Engineering and Information Systems, University of Pannonia, Veszprém, Hungary;Department of Mathematics, University of Pannonia, Veszprém, Hungary
Venue:
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Year:
2012

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Abstract

In our paper we discuss some of the problems of camera independent motion dection and propose the use of a qualitative method based on the projections of the optical flow. By applying several projections of the optical flow and using a voting mechanism we can increase the performance of motion detection: the F-measure, examined on 20 artificial and real-life test videos, was increased with about 10-25% in general compared to the average performance of individual projections.