{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T20:28:04Z","timestamp":1729628884833,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,7]]},"DOI":"10.1109\/rcar.2017.8311907","type":"proceedings-article","created":{"date-parts":[[2018,3,12]],"date-time":"2018-03-12T21:56:36Z","timestamp":1520891796000},"page":"471-476","source":"Crossref","is-referenced-by-count":0,"title":["A comparison study on the adaptive scale estimation of correlation filter-based visual tracking methods"],"prefix":"10.1109","author":[{"given":"Z. L.","family":"Wang","sequence":"first","affiliation":[]},{"given":"B. G.","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Y. L.","family":"Wang","sequence":"additional","affiliation":[]},{"given":"G. Y.","family":"Lv","sequence":"additional","affiliation":[]},{"given":"R. C.","family":"Shan","sequence":"additional","affiliation":[]},{"given":"M.","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.226"},{"key":"ref11","first-page":"1838","article-title":"Robust object tracking via sparsity-based collaborative model","author":"wei","year":"2012","journal-title":"Computer Vision and Pattern Recognition IEEE"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.143"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.65"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33765-9_50"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.381"},{"key":"ref18","first-page":"99:1","article-title":"Discriminative Scale Space Tracking","author":"danelljan","year":"2016","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_25"},{"key":"ref4","first-page":"81","article-title":"Object tracking: a survey","author":"alper","year":"2006","journal-title":"ACM Computing Surveys"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230","article-title":"Visual tracking: an experimental survey","volume":"36","author":"smeulders","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref6","article-title":"Real time robust 11 tracker using accelerated proximal gradient approach","author":"bao","year":"2012","journal-title":"CVPR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247891"},{"key":"ref8","first-page":"263","article-title":"Struck: Structured outputtracking with kernels. International Conference on Computer Vision","author":"hare","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref7","article-title":"Constructing adaptive complex cells for robust object tracking","author":"chen","year":"2013","journal-title":"ICCV"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.07.024"},{"key":"ref1","first-page":"260","article-title":"Object tracking by particle filtering techniques in video sequences","author":"mihaylova","year":"2007","journal-title":"Advances and Challenges in Multisensor Data and Information NATO Security Through Science Series 8"},{"key":"ref9","first-page":"1854","article-title":"Robust tracking via weakly supervised ranking SVM","author":"bai","year":"2012","journal-title":"Computer Vision and Pattern Recognition IEEE"},{"key":"ref20","first-page":"254","article-title":"A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration","author":"yang","year":"2014","journal-title":"European Conf on Comp Vision Workshop"},{"year":"0","key":"ref21"}],"event":{"name":"2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)","start":{"date-parts":[[2017,7,14]]},"location":"Okinawa","end":{"date-parts":[[2017,7,18]]}},"container-title":["2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8304917\/8311819\/08311907.pdf?arnumber=8311907","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T18:52:36Z","timestamp":1570906356000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8311907\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/rcar.2017.8311907","relation":{},"subject":[],"published":{"date-parts":[[2017,7]]}}}