{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T23:10:22Z","timestamp":1778800222842,"version":"3.51.4"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T00:00:00Z","timestamp":1776384000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01LM011834"],"award-info":[{"award-number":["R01LM011834"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Vision and Image Understanding"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.cviu.2026.104777","type":"journal-article","created":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T14:54:47Z","timestamp":1776524087000},"page":"104777","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Multi-view real-time detection of patient arrival in trauma resuscitation using computer vision"],"prefix":"10.1016","volume":"268","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-2351-4145","authenticated-orcid":false,"given":"Sifan","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7025-6636","authenticated-orcid":false,"given":"Mary S.","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8579-8052","authenticated-orcid":false,"given":"Aaron H.","family":"Mun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebecca","family":"Cunningham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1033-6865","authenticated-orcid":false,"given":"Ivan","family":"Marsic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4465-9117","authenticated-orcid":false,"given":"Randall S.","family":"Burd","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.cviu.2026.104777_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2024.e41137","article-title":"Deep learning-based object detection algorithms in medical imaging: Systematic review","volume":"11","author":"Albuquerque","year":"2025","journal-title":"Heliyon"},{"key":"10.1016\/j.cviu.2026.104777_b2","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"11027","article-title":"Dynamic convolution: Attention over convolution kernels","author":"Chen","year":"2020"},{"issue":"3","key":"10.1016\/j.cviu.2026.104777_b3","doi-asserted-by":"crossref","first-page":"1957","DOI":"10.1007\/s11277-023-10528-8","article-title":"Survey on sensors and smart devices for IoT enabled intelligent healthcare system","volume":"131","author":"Chopade","year":"2023","journal-title":"Wirel. Pers. Commun."},{"issue":"4","key":"10.1016\/j.cviu.2026.104777_b4","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1097\/TA.0000000000003820","article-title":"Time to early resuscitative intervention association with mortality in trauma patients at risk for hemorrhage","volume":"94","author":"Deeb","year":"2023","journal-title":"J. Trauma Acute Care Surg."},{"issue":"9","key":"10.1016\/j.cviu.2026.104777_b5","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.1016\/j.injury.2018.05.010","article-title":"Benchmarking emergency department thoracotomy: Using trauma video review to generate procedural norms","volume":"49","author":"Dumas","year":"2018","journal-title":"Injury"},{"issue":"1","key":"10.1016\/j.cviu.2026.104777_b6","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.amjsurg.2019.08.025","article-title":"Trauma video review utilization: A survey of practice in the United States","volume":"219","author":"Dumas","year":"2020","journal-title":"Am. J. Surg."},{"key":"10.1016\/j.cviu.2026.104777_b7","series-title":"Pyslowfast","author":"Fan","year":"2020"},{"key":"10.1016\/j.cviu.2026.104777_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2025.109726","article-title":"Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization","volume":"187","author":"Garc\u00eda-Torres","year":"2025","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.cviu.2026.104777_b9","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.procs.2018.10.012","article-title":"RFID applications and adoptions in healthcare: A review on patient safety","volume":"138","author":"Haddara","year":"2018","journal-title":"Procedia Comput. Sci."},{"issue":"1","key":"10.1016\/j.cviu.2026.104777_b10","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1097\/TA.0000000000004313","article-title":"A multidimensional approach to identifying high-performing trauma centers across the United States","volume":"97","author":"Hamad","year":"2024","journal-title":"J. Trauma Acute Care Surg."},{"key":"10.1016\/j.cviu.2026.104777_b11","series-title":"Ultralytics YOLO","author":"Jocher","year":"2023"},{"issue":"3","key":"10.1016\/j.cviu.2026.104777_b12","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.resuscitation.2004.12.020","article-title":"When minutes count\u2013the fallacy of accurate time documentation during in-hospital resuscitation","volume":"65","author":"Kaye","year":"2005","journal-title":"Resuscitation"},{"key":"10.1016\/j.cviu.2026.104777_b13","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.jss.2021.12.048","article-title":"Provider perception of time during trauma resuscitation: A prospective quantitative trauma video review analysis","volume":"274","author":"Kuhlenschmidt","year":"2022","journal-title":"J. Surg. Res."},{"key":"10.1016\/j.cviu.2026.104777_b14","first-page":"1","article-title":"Edge computing and convolutional neural networks for real-time object detection in healthcare iot","volume":"vol. 1","author":"Kumar","year":"2023"},{"issue":"1","key":"10.1016\/j.cviu.2026.104777_b15","article-title":"A comprehensive review of recent deep learning techniques for human activity recognition","volume":"2022","author":"Le","year":"2022","journal-title":"Comput. Intell. Neurosci."},{"key":"10.1016\/j.cviu.2026.104777_b16","doi-asserted-by":"crossref","unstructured":"Li,\u00a0X., Yao,\u00a0D., Pan,\u00a0X., Johannaman,\u00a0J., Yang,\u00a0J., Webman,\u00a0R., Sarcevic,\u00a0A., Marsic,\u00a0I., Burd,\u00a0R.S., 2016a. Activity recognition for medical teamwork based on passive RFID. In: 2016 IEEE International Conference on RFID (RFID). pp. 1\u20139. http:\/\/dx.doi.org\/10.1109\/RFID.2016.7488002.","DOI":"10.1109\/RFID.2016.7488002"},{"key":"10.1016\/j.cviu.2026.104777_b17","series-title":"Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM","first-page":"164","article-title":"Deep learning for RFID-based activity recognition","author":"Li","year":"2016"},{"key":"10.1016\/j.cviu.2026.104777_b18","first-page":"531","article-title":"PETR: Position embedding transformation for multi-view 3D object detection","author":"Liu","year":"2022"},{"issue":"1","key":"10.1016\/j.cviu.2026.104777_b19","doi-asserted-by":"crossref","DOI":"10.1136\/tsaco-2020-000510","article-title":"Pushing boundaries of video review in trauma: using comprehensive data to improve the safety of trauma care","volume":"5","author":"Nolan","year":"2020","journal-title":"Trauma Surg. Acute Care Open"},{"key":"10.1016\/j.cviu.2026.104777_b20","article-title":"Applying RFID systems to improve the correctness of newborn identity reconfirmation","volume":"146","author":"Ou\u00a0Yang","year":"2009","journal-title":"Stud. Health Technol. Inform."},{"key":"10.1016\/j.cviu.2026.104777_b21","volume":"vol. 19, no. 14","author":"Rodr\u00edguez-Moreno","year":"2019"},{"issue":"3","key":"10.1016\/j.cviu.2026.104777_b22","doi-asserted-by":"crossref","first-page":"328","DOI":"10.4103\/joacp.JOACP_364_19","article-title":"Human errors and their prevention in healthcare","volume":"37","author":"Sameera","year":"2021","journal-title":"J. Anaesthesiol. Clin. Pharmacol."},{"key":"10.1016\/j.cviu.2026.104777_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2024.104269","article-title":"ASELMAR: Active and semi-supervised learning-based framework to reduce multi-labeling efforts for activity recognition","volume":"251","author":"Saribudak","year":"2025","journal-title":"Comput. Vis. Image Underst."},{"issue":"1","key":"10.1016\/j.cviu.2026.104777_b24","article-title":"An efficient deep learning approach to pneumonia classification in healthcare","volume":"2019","author":"Stephen","year":"2019","journal-title":"J. Heal. Eng."},{"key":"10.1016\/j.cviu.2026.104777_b25","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.jpeds.2016.07.003","article-title":"Time perception during neonatal resuscitation","volume":"177","author":"Trevisanuto","year":"2016","journal-title":"J. Pediatr."},{"key":"10.1016\/j.cviu.2026.104777_b26","doi-asserted-by":"crossref","DOI":"10.1097\/XCS.0000000000001282","article-title":"Impact of massive transfusion activation on time to delivery of the first cooler and patient survival: A study of 4,313 consecutive activations","author":"Van\u00a0Gent","year":"2025","journal-title":"J. Am. Coll. Surg."},{"key":"10.1016\/j.cviu.2026.104777_b27","series-title":"2015 49th Asilomar Conference on Signals, Systems and Computers","first-page":"872","article-title":"Analysis of millimeter wave networked wearables in crowded environments","author":"Venugopal","year":"2015"},{"issue":"4","key":"10.1016\/j.cviu.2026.104777_b28","doi-asserted-by":"crossref","DOI":"10.1097\/AS9.0000000000000631","article-title":"Enhanced trauma video review with computer vision: Trauma resuscitation phase segmentation and procedure detection","volume":"6","author":"Villarreal","year":"2025","journal-title":"Ann. Surg. Open"},{"key":"10.1016\/j.cviu.2026.104777_b29","series-title":"Proceedings of the 5th Conference on Robot Learning","first-page":"180","article-title":"DETR3D: 3D object detection from multi-view images via 3D-to-2D queries","volume":"vol. 164","author":"Wang","year":"2022"},{"key":"10.1016\/j.cviu.2026.104777_b30","series-title":"Proceedings of the 33rd International Conference on Neural Information Processing Systems","article-title":"CondConv: conditionally parameterized convolutions for efficient inference","author":"Yang","year":"2019"},{"key":"10.1016\/j.cviu.2026.104777_b31","series-title":"2010 IEEE International Conference on RFID-Technology and Applications","first-page":"128","article-title":"The use of RFID in healthcare: Benefits and barriers","author":"Yao","year":"2010"},{"key":"10.1016\/j.cviu.2026.104777_b32","doi-asserted-by":"crossref","unstructured":"Yu,\u00a0X., Xu,\u00a0M., Zhang,\u00a0Y., Liu,\u00a0H., Ye,\u00a0C., Wu,\u00a0Y., Yan,\u00a0Z., Zhu,\u00a0C., Xiong,\u00a0Z., Liang,\u00a0T., Chen,\u00a0G., Cui,\u00a0S., Han,\u00a0X., 2023. MVImgNet: A Large-scale Dataset of Multi-view Images. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 9150\u20139161. http:\/\/dx.doi.org\/10.1109\/CVPR52729.2023.00883.","DOI":"10.1109\/CVPR52729.2023.00883"},{"key":"10.1016\/j.cviu.2026.104777_b33","doi-asserted-by":"crossref","unstructured":"Zhang,\u00a0Y., Gu,\u00a0Y., Marsic,\u00a0I., Zheng,\u00a0Y., Burd,\u00a0R.S., 2020. Video-based concurrent activity recognition for trauma resuscitation. In: 2020 IEEE International Conference on Healthcare Informatics (ICHI). pp. 1\u20136. http:\/\/dx.doi.org\/10.1109\/ICHI48887.2020.9374399.","DOI":"10.1109\/ICHI48887.2020.9374399"},{"key":"10.1016\/j.cviu.2026.104777_b34","doi-asserted-by":"crossref","unstructured":"Zhang,\u00a0Y., Li,\u00a0X., Marsic,\u00a0I., 2021. Multi-Label Activity Recognition using Activity-specific Features and Activity Correlations. In: 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). (ISSN: 1063-6919 (Print) 1063-6919) pp. 14620\u201314630. http:\/\/dx.doi.org\/10.1109\/cvpr46437.2021.01439.","DOI":"10.1109\/CVPR46437.2021.01439"},{"key":"10.1016\/j.cviu.2026.104777_b35","doi-asserted-by":"crossref","unstructured":"Zhang,\u00a0W., Li,\u00a0K., Yang,\u00a0S., Yuan,\u00a0S., Marsic,\u00a0I., Sippel,\u00a0G.J., Kim,\u00a0M.S., Burd,\u00a0R.S., 2024. Focusing on What Matters: Fine-grained Medical Activity Recognition for Trauma Resuscitation via Actor Tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. (ISSN: 2160-7508 (Print) 2160-7508) pp. 4950\u20134958. http:\/\/dx.doi.org\/10.1109\/cvprw63382.2024.00500.","DOI":"10.1109\/CVPRW63382.2024.00500"},{"key":"10.1016\/j.cviu.2026.104777_b36","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.inffus.2017.02.007","article-title":"Multi-view learning overview: Recent progress and new challenges","volume":"38","author":"Zhao","year":"2017","journal-title":"Inf. Fusion"}],"container-title":["Computer Vision and Image Understanding"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S107731422600144X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S107731422600144X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T22:31:22Z","timestamp":1778797882000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S107731422600144X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":36,"alternative-id":["S107731422600144X"],"URL":"https:\/\/doi.org\/10.1016\/j.cviu.2026.104777","relation":{},"ISSN":["1077-3142"],"issn-type":[{"value":"1077-3142","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multi-view real-time detection of patient arrival in trauma resuscitation using computer vision","name":"articletitle","label":"Article Title"},{"value":"Computer Vision and Image Understanding","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cviu.2026.104777","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"104777"}}