Proceedings

Separating Non-Stationary from Stationary Scene Components in a Sequence of Real World TV Images

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Proceedings of the Fifth International Joint Conference on Artificial Intelligence. Vision. Pages 612-617.

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 differencesbased on second order statistics - between consecutive frames are due to images of moving objects. No knowledge is assumed about size, shape, or tex-, ture for images of stationary or non-stationary scene components.

Ramesh C. Jain, D. Militzer, and Hans-Hellmut Nagel. 1977. Separating Non-Stationary from Stationary Scene Components in a Sequence of Real World TV Images. In Proceedings of the Fifth International Joint Conference on Artificial Intelligence, IJCAI-77. IJCAI, 612–617. https://ijcai.org/proceedings/1977/143
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