{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:57:31Z","timestamp":1760245051308},"reference-count":32,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489230","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T22:25:09Z","timestamp":1539987909000},"source":"Crossref","is-referenced-by-count":14,"title":["Background Subtraction on Depth Videos with Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Xueying","family":"Wang","sequence":"first","affiliation":[]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Guangli","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Xiaobing","family":"Feng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","first-page":"1","article-title":"BGSLibrary: An OpenCV C++ Background Subtraction Library","author":"sobral","year":"2013","journal-title":"IX Workshop De VisÃo Computacional"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.11.022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.09.014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.09.022"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2013.03.009"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.3390\/s140201961","article-title":"Foreground segmentation in depth imagery using depth and spatial dynamic models for video surveillance applications","author":"blanco","year":"2014","journal-title":"SENSORS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14633-1_4"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"8895","DOI":"10.3390\/s130708895","article-title":"Background Subtraction Based on Color and Depth Using Active Sensors","author":"fernandez-sanchez","year":"2013","journal-title":"SENSORS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-013-0562-5"},{"key":"ref16","first-page":"380","article-title":"An Improved Colorimetric Invariants and RGB-Depth-Based Codebook Model for Background Subtraction Using Kinect","author":"murgia","year":"2014","journal-title":"Mexican International Conference on Artificial Intelligence Springer"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.751"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.09.004"},{"key":"ref19","first-page":"219","article-title":"A Benchmarking Framework for Background Subtraction in RGBD videos","author":"camplani","year":"2017","journal-title":"New Trends in Image Analysis and Processing-ICIAP 2017 Workshops Lecture Notes in Computer Science"},{"key":"ref28","article-title":"A Deep Convolutional Neural Network for Background Subtraction","author":"babaee","year":"0"},{"key":"ref4","first-page":"3061","article-title":"Background modeling and subtraction by codebook construction","author":"kim","year":"2004","journal-title":"IEEE Int Conf Image Processing"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP.2016.7502717"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1333992"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.12.005"},{"key":"ref29","first-page":"1","article-title":"End-to-end video background subtraction with 3d convolutional neural networks","author":"sakkos","year":"2017","journal-title":"Multimedia Tools & Applications"},{"key":"ref5","first-page":"751","article-title":"Non-parametric Model for Background Subtraction","author":"elgammal","year":"2000","journal-title":"European Conference on Computer Vision Springer-Verlag"},{"key":"ref8","first-page":"1197","article-title":"Advanced background modeling with RGB-D through classifiers combination and inter-frame foreground prediction","author":"camplani","year":"2014","journal-title":"Machine Vision & Applications"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6467216"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.3390\/s120201437","article-title":"Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications","author":"khoshelham","year":"2012","journal-title":"SENSORS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2271112"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995508"},{"key":"ref20","first-page":"242","article-title":"CwisarDH+: Background Detection in RGBD Videos by Learning of Weightless Neural Networks","author":"de","year":"2017","journal-title":"New Trends in Image Analysis and Processing-ICIAP 2017 Workshops Lecture Notes in Computer Science"},{"key":"ref22","first-page":"230","article-title":"Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA","author":"javed","year":"2017","journal-title":"New Trends in Image Analysis and Processing-ICIAP 2017 Workshops Lecture Notes in Computer Science"},{"key":"ref21","first-page":"254","article-title":"Exploiting Color and Depth for Background Subtraction","author":"maddalena","year":"2017","journal-title":"New Trends in Image Analysis and Processing-ICIAP 2017 Workshops Lecture Notes in Computer Science"},{"key":"ref24","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Communications of the"},{"key":"ref23","first-page":"266","article-title":"Simple Combination of Appearance and Depth for Foreground Segmentation","author":"minematsu","year":"2017","journal-title":"New Trends in Image Analysis and Processing-ICIAP 2017 Workshops Lecture Notes in Computer Science"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref25","first-page":"91","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"MIT Press Neural Information Processing Systems"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","location":"Rio de Janeiro","start":{"date-parts":[[2018,7,8]]},"end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08489230.pdf?arnumber=8489230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T22:11:46Z","timestamp":1598220706000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489230\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489230","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}