A Robust, Efficient, and Fast Global Motion Estimation Method from MPEG Compressed Video
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A global-motion analysis method via rough-set-based video pre-classification
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Motion-information-based video retrieval system using rough pre-classification
Transactions on Rough Sets V
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Global motion is very likely to occur in image sequences analysis. For example, it arises if the observer is moving during the sequence acquisition (ego-motion). Our aim is to get a simple method to estimate in a reliable may a set of parameters that can take into account the presence of a global motion component, using only local information. The novelty of our approach is in regarding spatial shift, change of scale, and rotation (corresponding to usual camera effects such as pan and zoom) as a two-dimensional (2-D) Doppler effect. The mathematical treatment is carried on in the complex plane, so that the results can be easily deduced as an extension of the one-dimensional (1-D) case; in this way, we obtain simple expressions, well suited for a practical realization of the estimate. The method has been experimentally validated by both real pictures with a synthetic motion and real image sequences