Motion based segmentation using MPEG streams and watershed method

Authors:
Renan Coudray;Bernard Besserer
Affiliations:
Laboratoire Informatique Image Interaction, University of La Rochelle, La Rochelle, France;Laboratoire Informatique Image Interaction, University of La Rochelle, La Rochelle, France
Venue:
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Year:
2005

Citing 3
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Abstract

Many computer vision applications require the calculation of motion present in image sequences, such as video indexing, summarization, motion segmentation and others. In previous work, we have presented a new technique which performs Global Motion Estimation on MPEG compressed video. This article presents a method to extend the process to allow fast motion-based segmentation of a video. The method enables the segmentation of the background and objects which have their own local motion in real time. The motion information belonging to each area is also given. Moreover, some indicators warn if the estimation is not reliable.