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Sensors 2018, 18(4), 1232; https://doi.org/10.3390/s18041232

Reconstruction-Based Change Detection with Image Completion for a Free-Moving Camera

1
Graduate School of Information Science and Electrical Engineering, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka 819-0395, Japan
2
IRIT, Université de Toulouse, CNRS, 31000 Toulouse, France
*
Author to whom correspondence should be addressed.
Received: 19 March 2018 / Revised: 12 April 2018 / Accepted: 13 April 2018 / Published: 17 April 2018
(This article belongs to the Section Remote Sensors)
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Abstract

Reconstruction-based change detection methods are robust for camera motion. The methods learn reconstruction of input images based on background images. Foreground regions are detected based on the magnitude of the difference between an input image and a reconstructed input image. For learning, only background images are used. Therefore, foreground regions have larger differences than background regions. Traditional reconstruction-based methods have two problems. One is over-reconstruction of foreground regions. The other is that decision of change detection depends on magnitudes of differences only. It is difficult to distinguish magnitudes of differences in foreground regions when the foreground regions are completely reconstructed in patch images. We propose the framework of a reconstruction-based change detection method for a free-moving camera using patch images. To avoid over-reconstruction of foreground regions, our method reconstructs a masked central region in a patch image from a region surrounding the central region. Differences in foreground regions are enhanced because foreground regions in patch images are removed by the masking procedure. Change detection is learned from a patch image and a reconstructed image automatically. The decision procedure directly uses patch images rather than the differences between patch images. Our method achieves better accuracy compared to traditional reconstruction-based methods without masking patch images. View Full-Text
Keywords: change detection; background subtraction; convolutional neural network; free-moving camera change detection; background subtraction; convolutional neural network; free-moving camera
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Minematsu, T.; Shimada, A.; Uchiyama, H.; Charvillat, V.; Taniguchi, R.-I. Reconstruction-Based Change Detection with Image Completion for a Free-Moving Camera. Sensors 2018, 18, 1232.

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