{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:49:16Z","timestamp":1779382156977,"version":"3.53.1"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.23919\/icact.2019.8701964","type":"proceedings-article","created":{"date-parts":[[2019,5,2]],"date-time":"2019-05-02T18:58:41Z","timestamp":1556823521000},"page":"648-653","source":"Crossref","is-referenced-by-count":15,"title":["Intelligent monitoring of indoor surveillance video based on deep learning"],"prefix":"10.23919","author":[{"given":"Yun-Xia","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aijun","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Jigang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liu","family":"Haowei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"A Framework for Distributed Deep Learning Layer Design in Python[J]","volume":"10","author":"mcleod","year":"2015","journal-title":"Computer Science"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref14","first-page":"1440","author":"girshick","year":"2015","journal-title":"Fast R-CNN[C]\/\/ IEEE International Conference on Computer Vision"},{"key":"ref15","first-page":"91","article-title":"Faster R-CNN: towards real-time object detection with region proposal networks[C]","author":"ren","year":"2015","journal-title":"International Conference on Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref17","first-page":"2017","author":"jaderberg","year":"2015","journal-title":"Spatial transformer networks"},{"key":"ref18","first-page":"3150","article-title":"Instance-Aware Semantic Segmentation via Multitask Network Cascades[C]","author":"dai","year":"2016","journal-title":"Computer Vision and Pattern Recognition"},{"key":"ref19","first-page":"1990","author":"pinheiro","year":"2015","journal-title":"Learning to Segment Object Candidates[J]"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-008-0153-z"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.713-715.460"},{"key":"ref6","first-page":"57","author":"liu","year":"2014","journal-title":"Weakly Supervised Multiclass Video Segmentation[C]\/\/ Computer Vision and Pattern Recognition"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"3060","DOI":"10.1109\/TIP.2015.2432711","article-title":"Random geometric prior forest for multiclass object segmentation.[J]","volume":"24","author":"liu","year":"2015","journal-title":"IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society"},{"key":"ref8","author":"nielsen","year":"2015","journal-title":"Neural Networks and Deep Learning"},{"key":"ref7","first-page":"740","volume":"8693","author":"lin","year":"2014","journal-title":"Microsoft COCO Common Objects in Context[J]"},{"key":"ref2","first-page":"2980","author":"he","year":"2017","journal-title":"Mask R-CNN[C]\/\/ IEEE International Conference on Computer Vision"},{"key":"ref9","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition[J]","author":"simonyan","year":"2014","journal-title":"Computer Science"},{"key":"ref20","first-page":"770","author":"he","year":"2015","journal-title":"Deep residual learning for image recognition"},{"key":"ref22","first-page":"936","author":"lin","year":"2016","journal-title":"Feature pyramid networks for object detection"},{"key":"ref21","first-page":"5987","author":"xie","year":"2017","journal-title":"Aggregated Residual Transformations for Deep Neural Networks[C]\/\/ IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","year":"0"},{"key":"ref23","first-page":"437","author":"girshick","year":"2014","journal-title":"Deformable part models are convolutional neural networks"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2017.2715815"}],"event":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","location":"PyeongChang Kwangwoon_Do, Korea (South)","start":{"date-parts":[[2019,2,17]]},"end":{"date-parts":[[2019,2,20]]}},"container-title":["2019 21st International Conference on Advanced Communication Technology (ICACT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8694794\/8701885\/08701964.pdf?arnumber=8701964","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T19:06:41Z","timestamp":1558379201000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8701964\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":24,"URL":"https:\/\/doi.org\/10.23919\/icact.2019.8701964","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}