Abstract
We describe a system which is designed to assist animators in extracting high-level information from sequences of images. The system is not meant to replace animators, but to be a tool to assist them in creating the first `rough-cut' of a sequence quickly and easily. Using the system, short animations have been created in a very short space of time. We show that the method of principal components analysis followed by a neural network learning phase is capable of motion tracking (even through occlusion), feature-extraction and gait classification. We quantify the results, and demonstrate the system tracking horses, birds and actors in a film. We demonstrate a system that is powerful, flexible and, above all, easy for non-specialists to use.
Translated title of the contribution | Extraction of Motion Data from Image Sequences to Assist Animators |
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Original language | English |
Pages (from-to) | 302-311 |
Journal | Proceedings of the British Machine Vision Conference 2000 |
Publication status | Published - 2000 |
Bibliographical note
ISBN: 1901725138Publisher: BMVA
Name and Venue of Conference: Proceedings of the British Machine Vision Conference 2000
Other identifier: 1000515