Abstract
In this paper, we propose an algorithm to characterize camera motion in video sequences based on image feature analysis. The approach predicts camera motion using spatio-temporal information obtained from tracking selected feature points throughout an image sequence. The spatio-temporal information provides the advantage of rich visual characteristic along a larger temporal scale over the traditional approaches, which tend to formulate computational methodologies on a few adjacent frames. The algorithm detects five basic camera motions of stationary, panning, tilting, zooming, and the combination of panning and tilting. We conduct the experiments to verify the proposed approach using real compressed video sequences. The experimental results have demonstrated the performance of proposed approach in determining camera motion.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lertrusdachakul, T., Aoki, T., Yasuda, H. (2005). Camera Motion Estimation by Image Feature Analysis. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_68
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DOI: https://doi.org/10.1007/11552499_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
Online ISBN: 978-3-540-31999-3
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