{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:15:35Z","timestamp":1740147335042,"version":"3.37.3"},"reference-count":28,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T00:00:00Z","timestamp":1533081600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shandong Province Higher Educational Science and Technology Program","award":["J14LN64"],"award-info":[{"award-number":["J14LN64"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Multimedia"],"published-print":{"date-parts":[[2018,8,1]]},"abstract":"<jats:p>Visual tracking is a challenging research topic in the field of computer vision with many potential applications. A large number of tracking methods have been proposed and achieved designed tracking performance. However, the current state-of-the-art tracking methods still can not meet the requirements of real-world applications. One of the main challenges is to design a good appearance model to describe the target\u2019s appearance. In this paper, we propose a novel visual tracking method, which uses compressed features to model target\u2019s appearances and then uses SVM to distinguish the target from its background. The compressed features were obtained by the zero-tree coding on multiscale wavelet coefficients extracted from an image, which have both the low dimensionality and discriminate ability and therefore ensure to achieve better tracking results. The experimental comparisons with several state-of-the-art methods demonstrate the superiority of the proposed method.<\/jats:p>","DOI":"10.1155\/2018\/7481645","type":"journal-article","created":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T19:40:22Z","timestamp":1533152422000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Visual Tracking Based on Discriminative Compressed Features"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0051-7355","authenticated-orcid":true,"given":"Wei","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Modern Education Technology, Ludong University, Yantai, China"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"Lab, CNCERT\/CC, Yumin Road No. 3A, Beijing 100029, China"}]}],"member":"311","reference":[{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-009-0423-4"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2010.09.004"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.002"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2012.6227420"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2423709"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.04.010"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2014.08.027"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2570553"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.09.014"},{"issue":"2","key":"16","first-page":"354","volume":"47","year":"2017","journal-title":"IEEE Transactions on Cybernetics"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2014.0234"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1524473113"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2619262"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2652730"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.12.052"},{"key":"21","first-page":"227","volume":"16","year":"2015","journal-title":"Journal of Machine Learning Research (JMLR)"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-016-6066-5"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2586194"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2539860"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2406194"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.10.006"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.11.031"},{"issue":"3","key":"35","first-page":"43:1","volume":"3","year":"2012","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"key":"36","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-015-0764-6"},{"key":"37","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-015-0817-x"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-013-0430-9"},{"key":"39","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-013-0525-3"},{"issue":"1","key":"34","first-page":"211","volume":"35","year":"2002","journal-title":"IFAC Proceedings Volumes"}],"container-title":["Advances in Multimedia"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2018\/7481645.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2018\/7481645.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/am\/2018\/7481645.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T19:40:25Z","timestamp":1533152425000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/am\/2018\/7481645\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,1]]},"references-count":28,"alternative-id":["7481645","7481645"],"URL":"https:\/\/doi.org\/10.1155\/2018\/7481645","relation":{},"ISSN":["1687-5680","1687-5699"],"issn-type":[{"type":"print","value":"1687-5680"},{"type":"electronic","value":"1687-5699"}],"subject":[],"published":{"date-parts":[[2018,8,1]]}}}