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29 January 2007 A new support tool for machine learning and pattern recognition using tracking and motion segmentation
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Proceedings Volume 6508, Visual Communications and Image Processing 2007; 65081W (2007) https://doi.org/10.1117/12.702836
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
A new support tool using object tracking and motion based segmentation is developed for machine learning and pattern recognition. In the learning step, an object of interest is tracked while learning is performed from segmented frames. In the recognition step, target is tracked until favorable conditions allow identification. This tool is used in the context of the Aqu@thèque project which includes an automatic fish recognition system. Tracking is a dificult task especially in case of real world images. Particle filtering methods incorporating motion based segmentation measurement in importance sampling step improve performance.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Bichot, O. Masset, L. Mascarilla, and P. Courtellemont "A new support tool for machine learning and pattern recognition using tracking and motion segmentation", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65081W (29 January 2007); https://doi.org/10.1117/12.702836
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