{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T15:43:39Z","timestamp":1773330219303,"version":"3.50.1"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/ieeeconf44664.2019.9048869","type":"proceedings-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T01:10:33Z","timestamp":1585617033000},"page":"919-924","source":"Crossref","is-referenced-by-count":18,"title":["Robust and Adaptive Radar Elliptical Density-Based Spatial Clustering and labeling for mmWave Radar Point Cloud Data"],"prefix":"10.1109","author":[{"given":"Renyuan","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Arizona,Department of Electrical and Computer Engineering,Tucson,AZ,85721"}]},{"given":"Siyang","family":"Cao","sequence":"additional","affiliation":[{"name":"University of Arizona,Department of Electrical and Computer Engineering,Tucson,AZ,85721"}]}],"member":"263","reference":[{"key":"ref10","first-page":"727","article-title":"X-Means: Extending K-Means with Efficient Estimation of the Number of Clusters","volume":"1","author":"pelleg","year":"2000","journal-title":"ICML"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/EuRAD.2015.7346289"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2863105"},{"key":"ref13","article-title":"SpatioTemporal Vessel Trajectory Clustering Based on Data Mapping and Density","author":"li","year":"2018","journal-title":"IEEE Access"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s17061419"},{"key":"ref4","first-page":"1","article-title":"Multiple Patients Behavior Detection in Real-time using mmWave Radar and Deep CNNs","author":"jin","year":"2019","journal-title":"2019 IEEE Radar Conference (RadarConf19)"},{"key":"ref3","first-page":"1","article-title":"Real-Time Human Motion Behavior Detection via CNN Using mmWave Radar","volume":"3","author":"zhang","year":"2018","journal-title":"IEEE Sensors Letters"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR.2018.8378586"},{"key":"ref5","article-title":"mm-Pose: Real-Time Human Skeletal Posture Estimation using mmWave Radars and CNNs","author":"sengupta","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081220"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2996940"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2012.6232167"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942382"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2017.8322938"}],"event":{"name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","location":"Pacific Grove, CA, USA","start":{"date-parts":[[2019,11,3]]},"end":{"date-parts":[[2019,11,6]]}},"container-title":["2019 53rd Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9034466\/9048648\/09048869.pdf?arnumber=9048869","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T18:16:26Z","timestamp":1757096186000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9048869\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf44664.2019.9048869","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}