{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:47:38Z","timestamp":1772041658799,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8683625","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T20:01:56Z","timestamp":1555531316000},"page":"2227-2231","source":"Crossref","is-referenced-by-count":5,"title":["How Video Object Tracking Is Affected by In-capture Distortions?"],"prefix":"10.1109","author":[{"given":"Roger Gomez","family":"Nieto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hernan Dario Benitez","family":"Restrepo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"Cabezas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"ref11","first-page":"1","article-title":"In-capture mobile video distortions: A study of subjective behavior and objective algorithms","author":"ghadiyaram","year":"2017","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1117\/12.974618"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1007\/978-3-319-46454-1_29","article-title":"Beyond correlation filters: Learning continuous convolution operators for visual tracking","author":"danelljan","year":"2016","journal-title":"Computer Vision – ECCV 2016"},{"key":"ref14","article-title":"The sixth visual object tracking vot2018 challenge results","author":"kristan","year":"2018"},{"key":"ref15","first-page":"4844","article-title":"Multi-cue correlation filters for robust visual tracking","author":"wang","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.733"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609928"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-03398-9","article-title":"Learning spatial-temporal regularized correlation filters for visual tracking","author":"li","year":"2018","journal-title":"The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2500021"},{"key":"ref3","first-page":"564","article-title":"The Visual Object Tracking VOT2015 Challenge Results","volume":"2015","author":"kristan","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref6","article-title":"Live netflix video quality of experience database","author":"moorthy","year":"0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2562513"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2014.7032269"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952385"},{"key":"ref2","first-page":"1","article-title":"The visual object tracking VOT 2014 challenge results","author":"kristan","year":"2014","journal-title":"ECCV"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.230"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2042111"},{"key":"ref20","article-title":"Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual tracking","author":"xu","year":"2018"},{"key":"ref22","article-title":"Vital: Visual tracking via adversarial learning","author":"song","year":"2018","journal-title":"ArXiv"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_30"},{"key":"ref24","article-title":"Evaluation of object trackers in distorted surveillance videos","author":"nieto","year":"2018","journal-title":"ArXiv"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2520370"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Brighton, United Kingdom","start":{"date-parts":[[2019,5,12]]},"end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08683625.pdf?arnumber=8683625","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T00:55:58Z","timestamp":1721177758000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8683625\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8683625","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}