Art

J-GLOBAL ID：201902257256006803   Reference number：19A0898139

Cross-Domain Change Object Detection Using Generative Adversarial Networks

敵対的生成ネットワークを用いたクロスドメイン変化物体検出

Author (3)： SUGIMOTO Takuma (Univ. Fukui, Fukui, JPN) ,  TANAKA Kanji (Univ. Fukui, Fukui, JPN) ,  YAMAGUCHI Kousuke (Univ. Fukui, Fukui, JPN)
Material： Journal of Robotics and Mechatronics  (J Robot Mechatron)
Volume： 31  Issue： 2  Page： 221-230  Publication year： Apr. 20, 2019 
JST Material Number： L0735A  ISSN： 0915-3942  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *map (atlas) ,  maintenance management ,  long term management ,  detection ,  object recognition ,  *neural network (biomodel) ,  unsupervised learning ,  *image recognition ,  algorithm ,  image processing ,  *feature extraction ,  image characteristic ,  locality ,  robot ,  automobile ,  *variation ,  object detection ,  convolutional neuralnetwork ,  Nearest neighbor algorithm ,  local feature ,  change detection ,  deep neural network
Semi thesaurus term： deep neural network ,  SIFT ,  guard monitoring robot ,  intelligent vehicle

JST classification (2)： Pattern recognition  (JE07000S) ,  Artificial intelligence  (JE08000Z)

Reference (32)：

• [1] D. W. van de Wouw, G. Dubbelman, and P. H. de With, “Hierarchical 2.5-d scene alignment for change detection with large viewpoint differences,” IEEE Robotics and Automation Letters, Vol.1, No.1, pp. 361-368, 2016.
• [2] B. Mathias, D. Marcin, G. Igor, C. Cesar, S. Roland, and N. Juan, “Map management for efficient long-term visual localization in outdoor environments,” Proc. of 2018 IEEE Intelligent Vehicles Symp. (IV), pp. 682-688, 2018.
• [3] R. J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam, “Image change detection algorithms: a systematic survey,” IEEE Trans. on Image Processing, Vol.14, No.3, pp. 294-307, 2005.
• [4] R. Finman, T. Whelan, M. Kaess, and J. J. Leonard, “Toward lifelong object segmentation from change detection in dense rgb-d maps,” 2013 European Conf. on Mobile Robots (ECMR), pp. 178-185, 2013.
• [5] K. Kim, T. H. Chalidabhongse, D. Harwood, and L. Davis, “Background modeling and subtraction by codebook construction,” 2004 Int. Conf. on Image Processing (ICIP’04), pp. 3061-3064, 2004.

Terms in the title (3)： 敵対的生成ネットワーク ,  ドメイン ,  物体検出