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|
|Journal||Proceedings of the British Machine Vision Conference 2000|
|Publication status||Published - 2000|
Bibliographical noteISBN: 1901725138
Name and Venue of Conference: Proceedings of the British Machine Vision Conference 2000
Other identifier: 1000515