Separating non-stationary from stationary scene components in a sequence of real world TV-images

Authors:
R. Jain;D. Militzer;H.-H. Nagel
Affiliations:
Institut für Informatik, Universität Hamburg, Hamburg 13, Germany;Institut für Informatik, Universität Hamburg, Hamburg 13, Germany;Institut für Informatik, Universität Hamburg, Hamburg 13, Germany
Venue:
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Year:
1977

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Abstract

Results are presented for a new method to identify images of moving objects in a sequence of scene images, e.g. from a TV-camera observing a street intersection. The reported approach exploits the assumption that systematic greyvalue differences - based on second order statistics - between consecutive frames are due to images of moving objects. No knowledge is assumed about size, shape, or texture for images of stationary or non-stationary scene components.