Luminance and texture variation analysis for motion detection

Souad Haddadi; Christine Fernandez-Maloigne

doi:10.1117/12.298312

9 January 1998 Luminance and texture variation analysis for motion detection

Souad Haddadi, Christine Fernandez-Maloigne

Author Affiliations +

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298312
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

We present a statistic algorithm of motion detection in sequences of images acquired by a fixed camera. This algorithm associates two methods of segmentation. The first, called 'unrefined', destined for a perminary determination of zones in movement, is based on a segmentation by division of an original operator making use of three successive images. The second uses a Markovian approach combined with statistic parameters of the second order. This algorithm is characterized by its robustness, its simplicity, and its calculation time.

Citation Download Citation

Souad Haddadi and Christine Fernandez-Maloigne "Luminance and texture variation analysis for motion detection", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298312

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