{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T09:07:51Z","timestamp":1730279271161,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000},"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":[[2023,11,29]]},"DOI":"10.1109\/ivcnz61134.2023.10344282","type":"proceedings-article","created":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T18:41:58Z","timestamp":1702406518000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Extreme Sport Analysis Using Object Detection Methods and Unscented Kalman Filters"],"prefix":"10.1109","author":[{"given":"Jayden","family":"McGillivray","sequence":"first","affiliation":[{"name":"University of Canterbury,Mechatronics Engineering,Christchirch,New Zealand"}]},{"given":"Richard","family":"Green","sequence":"additional","affiliation":[{"name":"University of Canterbury,Computer Science and Software Engineering,Christchirch,New Zealand"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"124","article-title":"The hyperquantified athlete: Technology, measurement, and the business of sports","volume":"1","author":"Jarvis","year":"2021","journal-title":"Technology, Media, and Telecommunications Predictions 2021"},{"key":"ref2","article-title":"Faster Human Detection and Tracking Using Yolov5 and Kalman Filters","author":"Vernon-Bosley","year":"2021","journal-title":"Unpublished, Christchirch"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref4","article-title":"Evolution of Yolo Algorithm and YOLOv5: The State-of-the-Art Object Detection Algorithm","author":"Thuan","year":"2021","journal-title":"Oulu University of Applied Sciences, Oulu"},{"article-title":"Understanding YOLO","year":"2023","author":"Menegaz","key":"ref5"},{"article-title":"YOLOv7 Object Detection Paper Explanation & Inference","year":"2023","author":"Kukil","key":"ref6"},{"article-title":"Teal Time Robust Human Detection and Tracking System","year":"2005","author":"Zhou","key":"ref7"},{"key":"ref8","article-title":"Visual Object Detection and Tracking using YOLO and SORT","author":"Bathija","year":"2019","journal-title":"International Journal of Engineering Research & Technology (IJERT), Mumbai, India"},{"article-title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object","year":"2022","author":"Wnag","key":"ref9"},{"article-title":"YOLOv7 Pose vs MediaPipe in Human Pose Estimation","year":"2023","author":"Kukil","key":"ref10"},{"issue":"1","key":"ref11","first-page":"8","article-title":"YOLOv7: The Most Powerful Object Detection Algorithm","volume":"12","author":"Vishnu","year":"2023","journal-title":"A Comparative Study of Human Pose"},{"article-title":"The Uncented Kalman Filter for Nonlinear Estimation","year":"2000","author":"Wan","key":"ref12"},{"key":"ref13","article-title":"Applying the unscented Kalman Filter for Nonlinear state estimation","author":"Kandepu","year":"2007","journal-title":"Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/app11094183"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1109\/IRASET52964.2022.9737924","article-title":"Comparative study of YOLOv3 and YOLOV5\u2019s performances for real-time person detection","author":"Khalfoaoui","year":"2022"}],"event":{"name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","start":{"date-parts":[[2023,11,29]]},"location":"Palmerston North, New Zealand","end":{"date-parts":[[2023,11,30]]}},"container-title":["2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10343468\/10343547\/10344282.pdf?arnumber=10344282","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T22:32:28Z","timestamp":1703025148000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10344282\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,29]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/ivcnz61134.2023.10344282","relation":{},"subject":[],"published":{"date-parts":[[2023,11,29]]}}}