دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Reconstruction-Base Change Detection with Image Completion for a Free-Moving Camera
المؤلفون: Minematsu, Tsubasa, Shimada, Atsushi, Uchiyama, Hideaki, Charvillat, Vincent, Taniguchi, Rin-Ichiro
المساهمون: Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Kyushu University (JAPAN), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Institut de Recherche en Informatique de Toulouse - IRIT (Toulouse, France)
بيانات النشر: MDPI
سنة النشر: 2018
المجموعة: OATAO (Open Archive Toulouse Archive Ouverte - Université de Toulouse)
مصطلحات موضوعية: Réseau de neurones, Change detection, Background subtraction, Convolutional neural network, Free-moving camera
الوصف: 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
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://oatao.univ-toulouse.fr/22735/1/minematsu_22735.pdfTest; HAL : hal-02064613; Minematsu, Tsubasa and Shimada, Atsushi and Uchiyama, Hideaki and Charvillat, Vincent and Taniguchi, Rin-Ichiro. Reconstruction-Base Change Detection with Image Completion for a Free-Moving Camera. (2018) Sensors, 18 (4). 1232-1251. ISSN 1424-8220
DOI: 10.3390/s18041232
الإتاحة: https://doi.org/10.3390/s18041232Test
https://oatao.univ-toulouse.fr/22735Test/
https://oatao.univ-toulouse.fr/22735/1/minematsu_22735.pdfTest
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.25F55A18
قاعدة البيانات: BASE