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Change detection benchmark web site
Two datasets are available. Both provide a realistic, camera-captured (no CGI), diverse set of videos. They have been selected to cover a wide range of detection challenges and are representative of t...
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Change detection benchmark web site
Methods that perform very well under one challenge (e.g., background motion) may not perform well in the presence of another challenge (e.g., strong shadows or night videos). Moreover, authors tend to...
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Change detection benchmark web site
Overview
The main objective of the 2014 IEEE Change Detection Workshop (CDW-2014) is to challenge research teams from around the world to test their change and motion detection algorithms on the expan...
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Change detection benchmark web site
Matlab and Python programs are available to compute metrics described on the 2012 RESULTS and 2014 RESULTS page. Although these programs are not needed to submit motion and change detection results to...
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Change detection benchmark web site
Reference
Wang Y., Luo Z. M., and Jodoin P. M. âInteractive Deep Learning Method for Segmenting Moving Objectsâ, Pattern Recognition Letters, 2016.
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Change detection benchmark web site
Reference
Y. Benezeth, P.-M. Jodoin, B. Emile, H. Laurent, and C. Rosenberger. Comparative study of background subtraction algorithms.J. of Elec. Imaging, 19(3):1â12, 2010.
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