{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:07:53Z","timestamp":1783436873973,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T00:00:00Z","timestamp":1730678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,4]]},"DOI":"10.1145\/3666025.3699340","type":"proceedings-article","created":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T18:48:26Z","timestamp":1730746106000},"page":"309-321","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Mission: mmWave Radar Person Identification with RGB Cameras"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9804-3727","authenticated-orcid":false,"given":"Ruofeng","family":"Liu","sequence":"first","affiliation":[{"name":"Michigan State University, East lansing, Michigan, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7530-1420","authenticated-orcid":false,"given":"Tianshun","family":"Yao","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0637-195X","authenticated-orcid":false,"given":"Ruili","family":"Shi","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2338-0256","authenticated-orcid":false,"given":"Luoyu","family":"Mei","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, Jiangsu, China"},{"name":"City University of Hong Kong, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2766-1135","authenticated-orcid":false,"given":"Shuai","family":"Wang","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3548-3335","authenticated-orcid":false,"given":"Zhimeng","family":"Yin","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6765-2466","authenticated-orcid":false,"given":"Wenchao","family":"Jiang","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3609-2205","authenticated-orcid":false,"given":"Shuai","family":"Wang","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,11,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2023. A Hong Kong hospital integrated cloud data and 5G to improve care and save lives. https:\/\/www.fierce-network.com\/sponsored\/hong-kong-hospital-integrated-cloud-data-and-5g-improve-care-and-save-lives-0."},{"key":"e_1_3_2_1_2_1","unstructured":"2023. IWR6843ISK-ODS. https:\/\/www.ti.com.cn\/tool\/cn\/IWR6843ISK-ODS."},{"key":"e_1_3_2_1_3_1","unstructured":"2023. Radar Sensors Improve Smart Home Security Safety Comfort and More. https:\/\/www.iotworldtoday.com\/smart-cities\/radar-sensors-improve-smart-home-security-safety-comfort-and-more."},{"key":"e_1_3_2_1_4_1","unstructured":"2023. Sensor Capture + Azure Kinect + Refinement Workflow. https:\/\/www.depthkit.tv\/tutorials\/azure-kinect-microsoft-volumetric-capture-depth-workflow-depthkit."},{"key":"e_1_3_2_1_5_1","first-page":"1","article-title":"Cross vision-rf gait re-identification with low-cost rgb-d cameras and mmwave radars","volume":"6","author":"Cao Dongjiang","year":"2022","unstructured":"Dongjiang Cao, Ruofeng Liu, Hao Li, Shuai Wang, Wenchao Jiang, and Chris Xiaoxuan Lu. 2022. Cross vision-rf gait re-identification with low-cost rgb-d cameras and mmwave radars. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 3 (2022), 1--25.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3214266"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3055936"},{"key":"e_1_3_2_1_8_1","first-page":"1","article-title":"Person reidentification based on automotive radar point clouds","volume":"60","author":"Cheng Yuwei","year":"2021","unstructured":"Yuwei Cheng and Yimin Liu. 2021. Person reidentification based on automotive radar point clouds. IEEE Transactions on Geoscience and Remote Sensing 60 (2021), 1--13.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00200"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01027"},{"key":"e_1_3_2_1_11_1","volume-title":"Biometric recognition by gait: A survey of modalities and features. Computer vision and image understanding 167","author":"Connor Patrick","year":"2018","unstructured":"Patrick Connor and Arun Ross. 2018. Biometric recognition by gait: A survey of modalities and features. Computer vision and image understanding 167 (2018), 1--27."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3550298"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01423"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2019.8909838"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.138"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00744"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_44"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00234"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3498361.3538926"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3300061.3345437"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00818"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3243043"},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3092833"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3264944"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3450268.3453532"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3349624.3356768"},{"key":"e_1_3_2_1_31_1","volume-title":"Gaitnet: An end-to-end network for gait based human identification. Pattern recognition 96","author":"Song Chunfeng","year":"2019","unstructured":"Chunfeng Song, Yongzhen Huang, Yan Huang, Ning Jia, and Liang Wang. 2019. Gaitnet: An end-to-end network for gait based human identification. Pattern recognition 96 (2019), 106988."},{"key":"e_1_3_2_1_32_1","volume-title":"legal, and social implications of biometric technologies. Biometric-based physical and cybersecurity systems","author":"Tanwar Sudeep","year":"2019","unstructured":"Sudeep Tanwar, Sudhanshu Tyagi, Neeraj Kumar, and Mohammad S Obaidat. 2019. Ethical, legal, and social implications of biometric technologies. Biometric-based physical and cybersecurity systems (2019), 535--569."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397317"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.575"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3351272"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3458864.3467679"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155471"},{"key":"e_1_3_2_1_40_1","first-page":"2","article-title":"Visible thermal person re-identification via dual-constrained top-ranking","volume":"1","author":"Ye Mang","year":"2018","unstructured":"Mang Ye, Zheng Wang, Xiangyuan Lan, and Pong C Yuen. 2018. Visible thermal person re-identification via dual-constrained top-ranking.. In IJCAI, Vol. 1. 2.","journal-title":"IJCAI"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2016.7460727"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS.2019.00028"}],"event":{"name":"SenSys '24: 22nd ACM Conference on Embedded Networked Sensor Systems","location":"Hangzhou China","acronym":"SenSys '24","sponsor":["SIGARCH ACM Special Interest Group on Computer Architecture","SIGBED ACM Special Interest Group on Embedded Systems","SIGMETRICS ACM Special Interest Group on Measurement and Evaluation","SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGOPS ACM Special Interest Group on Operating Systems"]},"container-title":["Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3666025.3699340","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3666025.3699340","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:10Z","timestamp":1750295890000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3666025.3699340"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,4]]},"references-count":42,"alternative-id":["10.1145\/3666025.3699340","10.1145\/3666025"],"URL":"https:\/\/doi.org\/10.1145\/3666025.3699340","relation":{},"subject":[],"published":{"date-parts":[[2024,11,4]]},"assertion":[{"value":"2024-11-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}