{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T17:46:31Z","timestamp":1723398391178},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571036","61872030"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005022","name":"Beijing Jiaotong University","doi-asserted-by":"publisher","award":["9907005501"],"id":[{"id":"10.13039\/501100005022","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2895376","type":"journal-article","created":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T20:33:37Z","timestamp":1548966817000},"page":"15478-15488","source":"Crossref","is-referenced-by-count":22,"title":["Single Shot Multibox Detector With Kalman Filter for Online Pedestrian Detection in Video"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2201-8696","authenticated-orcid":false,"given":"Fan","family":"Yang","sequence":"first","affiliation":[]},{"given":"Houjin","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jupeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiaomiao","family":"Yan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"363","article-title":"Two-frame motion estimation based on polynomial expansion","author":"farneb\u00e4ck","year":"2003","journal-title":"Proc SCIA"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206638"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICSAI.2014.7009291"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref31","first-page":"1","article-title":"An FPGA-accelerated design for deep learning pedestrian detection in self-driving vehicles","author":"moussawi","year":"2017","journal-title":"Proc FEASAC"},{"key":"ref30","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc ICLR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587581"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.155"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206631"},{"key":"ref34","first-page":"55","article-title":"Deep learning-based multiple pedestrians detection-tracking framework","author":"phung","year":"2016","journal-title":"Proceedings of HCI2002 Korea"},{"key":"ref10","author":"han","year":"2016","journal-title":"Seq-nms for video object detection"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.95"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2300479"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2818018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-5819-6"},{"key":"ref18","first-page":"354","article-title":"A unified multi-scale deep convolutional neural network for fast object detection","author":"cai","year":"2016","journal-title":"Proc ECCV"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.496"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.530"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2759508"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.257"},{"key":"ref5","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc ICONIP"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.441"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.52"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/12.2502012"},{"key":"ref1","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Proc ECCV"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.639"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.522"},{"key":"ref21","first-page":"953","article-title":"Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detection","author":"du","year":"2016","journal-title":"Proc WACV"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.257"},{"key":"ref23","first-page":"106151e","article-title":"Feature-fused SSD: Fast detection for small objects","author":"cao","year":"2017","journal-title":"Proc ICGI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.221"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00811"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08631151.pdf?arnumber=8631151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T07:59:40Z","timestamp":1643270380000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8631151\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2895376","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}