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Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05)
Camera Motion Characterization through Image Feature Analysis
Las Vegas, Nevada
August 16-August 18
ISBN: 0-7695-2358-7
Thitiporn Lertrusdachakul, University of Tokyo
Terumasa Aoki, University of Tokyo
Hiroshi Yasuda, University of Tokyo
This paper presents an approach to characterize camera motion in video sequences based on image feature analysis. The approach predicts camera motion using spatio-temporal information obtained from tracking the 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. In this paper, we propose an algorithm to estimate camera motion by analyzing the motion trajectories of feature points over temporal change. The experimental results support that the proposed algorithm is effective in determining camera motion.
Citation:
Thitiporn Lertrusdachakul, Terumasa Aoki, Hiroshi Yasuda, "Camera Motion Characterization through Image Feature Analysis," iccima, pp.186-190, Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05), 2005
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