Camera motion detection in video sequences using motion cooccurrences

Authors:
Hyun-Ho Jeon;Andrea Basso;Peter F. Driessen
Affiliations:
Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada;Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada;Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2005

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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.