{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T12:57:54Z","timestamp":1725800274554},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T00:00:00Z","timestamp":1629331200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,19]]},"DOI":"10.1109\/rivf51545.2021.9642066","type":"proceedings-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T16:08:09Z","timestamp":1640102889000},"page":"1-4","source":"Crossref","is-referenced-by-count":1,"title":["A Real-time Multispectral Algorithm for Robust Pedestrian Detection"],"prefix":"10.1109","author":[{"given":"Vu Hiep","family":"Dao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hieu","family":"Mac","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duc","family":"Tran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"article-title":"SpineNet: Learning scale-permuted backbone for recognition and localization","year":"2019","author":"du","key":"ref11"},{"key":"ref12","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00203"},{"key":"ref14","first-page":"580","article-title":"Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation","author":"girshick","year":"2014","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6834"},{"article-title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","year":"2020","author":"bochkovskiy","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298706"},{"key":"ref4","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"journal-title":"Scalable high-quality object detection","year":"2014","author":"szegedy","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.08.005"},{"article-title":"You only look once: Unified, real-time object detection","year":"2015","author":"redmon","key":"ref5"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"simonyan","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s19173727"},{"article-title":"R-FCN: Object detection via region-based fully convolutional networks","year":"2016","author":"dai","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","article-title":"Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks","author":"choi","year":"2016","journal-title":"International Conference on Pattern Recognition"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.36"},{"key":"ref21","article-title":"Multispectral deep neural networks for pedestrian detection","author":"jingjing liu","year":"2016","journal-title":"The British Machine Vision Conference"},{"key":"ref24","article-title":"Multispectral pedestrian detection using deep fusion convolutional neural networks","author":"wagner","year":"2016","journal-title":"The European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.03.007"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/10867651.2002.10487554"}],"event":{"name":"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)","start":{"date-parts":[[2021,8,19]]},"location":"Hanoi, Vietnam","end":{"date-parts":[[2021,8,21]]}},"container-title":["2021 RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9642022\/9642065\/09642066.pdf?arnumber=9642066","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:54:54Z","timestamp":1652187294000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9642066\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,19]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/rivf51545.2021.9642066","relation":{},"subject":[],"published":{"date-parts":[[2021,8,19]]}}}