Paper
9 January 1998 Luminance and texture variation analysis for motion detection
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Motion analysis

Ions

Modeling

Motion detection

Matrices

Algorithm development

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