Abstract
In this paper, we propose a camera motion detection method that can identify pan, tilt and zoom in a video sequence. The proposed method exploits motion features based on the motion cooccurrence matrix, which is able to provide dominant motion characteristics between two images such as the size of the homogeneous motion area and the direction of motion. We show that motion cooccurrence matrices are quite different for different types of motion and can be used to effectively identify simple camera motion such as pan, tilt and zoom in video sequences. Our method does not rely on the parametric motion model and can be used to qualitatively detect camera motion. Performance of the proposed method is evaluated by experiments for a set of test sequence.
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© 2005 Springer-Verlag Berlin Heidelberg
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Jeon, HH., Basso, A., Driessen, P.F. (2005). Camera Motion Detection in Video Sequences Using Motion Cooccurrences. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_46
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DOI: https://doi.org/10.1007/11581772_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30027-4
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