Combining apparent motion and perspective as visual cues for content-based camera motion indexing

Authors:
Mathieu Marquis-Bolduc;François Deschênes;Wei Pan
Affiliations:
Département d'informatique, Université de Sherbrooke, 2500 boul. Université Sherbrooke, Qc, Canada J1K 2R1;Département d'informatique, Université de Sherbrooke, 2500 boul. Université Sherbrooke, Qc, Canada J1K 2R1 and Université du Québec en Outaouais, 283, boul. Alexandre-Tach ...;Département d'informatique, Université de Sherbrooke, 2500 boul. Université Sherbrooke, Qc, Canada J1K 2R1
Venue:
Pattern Recognition
Year:
2008

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Abstract

We propose a new method for a qualitative estimation of camera motion from a video sequence. The proposed method suggests to use the properties of vanishing point perspective to complete the information obtained from apparent motion, that is to use a cooperative estimation from several visual cues. Focal length and rotational parameters are first retrieved using perspective, then apparent motion is used to retrieve remaining parameters. The proposed method can retrieve all seven camera motions, including combination of motions. Experimentations confirm that the usefulness of the additional information gained from perspective.