{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,13]],"date-time":"2024-06-13T07:50:19Z","timestamp":1718265019573},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"20","license":[{"start":{"date-parts":[[2016,10,25]],"date-time":"2016-10-25T00:00:00Z","timestamp":1477353600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1007\/s11042-016-4068-9","type":"journal-article","created":{"date-parts":[[2016,10,25]],"date-time":"2016-10-25T07:19:59Z","timestamp":1477379999000},"page":"21265-21280","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Midlevel cues mean shift visual tracking algorithm based on target-background saliency confidence map"],"prefix":"10.1007","volume":"76","author":[{"given":"Zhengping","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronglu","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,10,25]]},"reference":[{"key":"4068_CR1","unstructured":"Achanta R, Shaji A, Smith K et al (2010) Slic superpixels. Technical Report, EPFL"},{"issue":"11","key":"4068_CR2","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta R, Shaji A, Smith K et al (2012) SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans Pattern Anal Mach Intell 34(11):2274\u20132282","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"4068_CR3","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1049\/iet-cvi.2013.0004","volume":"8","author":"XW An","year":"2014","unstructured":"An XW, Kim J, Han YJ (2014) Optimal colour-based mean shift algorithm for tracking objects. IET Comput Vis 8(3):235\u2013244","journal-title":"IET Comput Vis"},{"key":"4068_CR4","unstructured":"Cheng MM, Zhang GX, Mitra NJ et al (2011) Global contrast based salient region detect. CVPR:409\u2013416"},{"issue":"5","key":"4068_CR5","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1049\/iet-spr.2011.0136","volume":"6","author":"A Dulai","year":"2014","unstructured":"Dulai A, Stathaki T (2014) Mean shift tracking through scale and occlusion. IET Sign Process 6(5):534\u2013540","journal-title":"IET Sign Process"},{"key":"4068_CR6","doi-asserted-by":"crossref","unstructured":"Kwon J, Lee K (2010) Visual tracking decomposition. Proc IEEE Comput Soc Conf Comput Vision Pattern Recogn: 1269\u20131276","DOI":"10.1109\/CVPR.2010.5539821"},{"key":"4068_CR7","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1109\/TPAMI.2011.167","volume":"4","author":"I Leichter","year":"2012","unstructured":"Leichter I (2012) Mean shift trackers with cross-bin metrics. IEEE Trans Pattern Anal Mach Intell 4:695\u2013706","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"4068_CR8","first-page":"457","volume":"16","author":"HP Liu","year":"2014","unstructured":"Liu HP, Wang LY, Sun FC (2014) Mean-shift tracking using fuzzy coding histogram. Int J Fuzzy Syst 16(4):457\u2013467","journal-title":"Int J Fuzzy Syst"},{"issue":"4","key":"4068_CR9","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1179\/1743131X12Y.0000000042","volume":"62","author":"YM Liu","year":"2014","unstructured":"Liu YM, Zhou SB (2014) A self-adaptive edge matching method based on mean shift and its application in video tracking. Imag Sci J 62(4):206\u2013216","journal-title":"Imag Sci J"},{"issue":"2","key":"4068_CR10","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1007\/s11042-009-0376-7","volume":"49","author":"M Lucena","year":"2010","unstructured":"Lucena M, Fuertes JM, De La Blanca P\u00e9rez N et al (2010) Tracking people in video sequences using multiple models. Multimed Tools Appl 49(2):371\u2013403","journal-title":"Multimed Tools Appl"},{"key":"4068_CR11","unstructured":"Wang S, Lu HC, Yang F et al (2011) Superpixel tracking. Proc IEEE Int Conf Comput Vision: 1323\u20131330"},{"issue":"3","key":"4068_CR12","doi-asserted-by":"crossref","first-page":"1480","DOI":"10.1109\/TITS.2013.2263281","volume":"14","author":"LF Wang","year":"2013","unstructured":"Wang LF, Yan HP, Wu HY et al (2013) Forward-backward mean-shift for visual tracking with local-background- weighted histogram. IEEE Trans Intell Transp Syst 14(3):1480\u20131489","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"4068_CR13","doi-asserted-by":"crossref","unstructured":"Wu Y, Lim J, Yang MH (2013) Online object tracking: a benchmark. Proc IEEE Comput Soc Conf Comput Vision Pattern Recogn: 2411\u20132418","DOI":"10.1109\/CVPR.2013.312"},{"issue":"1","key":"4068_CR14","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1049\/iet-cvi.2014.0077","volume":"9","author":"W Yu","year":"2015","unstructured":"Yu W, Tian XH, Hon ZQ et al (2015) Multi-Scale mean shift tracking. IET Comput Vis 9(1):110\u2013123","journal-title":"IET Comput Vis"},{"issue":"5","key":"4068_CR15","first-page":"127","volume":"8693","author":"KH Zhang","year":"2014","unstructured":"Zhang KH, Zhang L, Liu QS et al (2014) Fast visual tracking via dense spatio-temporal context learning. Lect Notes Comput Sci 8693(5):127\u2013141","journal-title":"Lect Notes Comput Sci"},{"issue":"3","key":"4068_CR16","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1007\/978-3-642-33712-3_62","volume":"7574","author":"KH Zhang","year":"2012","unstructured":"Zhang KH, Zhang L, Yang MH (2012) Real-time compressive tracking. Lect Notes Comput Sci 7574(3):864\u2013877","journal-title":"Lect Notes Comput Sci"},{"key":"4068_CR17","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/978-3-319-12637-1_24","volume":"8834","author":"SW Zheng","year":"2014","unstructured":"Zheng SW, Liu LS, Qiao H (2014) Spatial-temporal saliency feature extraction for robust mean-shift tracker. Lect Notes Comput Sci 8834:191\u2013198","journal-title":"Lect Notes Comput Sci"},{"issue":"3","key":"4068_CR18","first-page":"1333","volume":"8","author":"ZY Zhou","year":"2012","unstructured":"Zhou ZY, Sheng YH, Wang YM et al (2012) Robust target tracking with mean shift algorithm. J Comput Inform Syst 8(3):1333\u20131340","journal-title":"J Comput Inform Syst"},{"key":"4068_CR19","doi-asserted-by":"crossref","unstructured":"Zhou ZP, Zhou MZ, Shi XF (2015) Target tracking based on foreground probability. Multimedia Tools and Applications 74(2): in Press","DOI":"10.1007\/s11042-014-2427-y"},{"key":"4068_CR20","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.cviu.2013.07.011","volume":"118","author":"GK Zhu","year":"2014","unstructured":"Zhu GK, Wang Q, Yuan Y (2014) Tag-Saliency: Combining bottom-up and top-down information for saliency detection. Comput Vis Image Underst 118:40\u201349","journal-title":"Comput Vis Image Underst"},{"issue":"7","key":"4068_CR21","doi-asserted-by":"crossref","first-page":"736","DOI":"10.3724\/SP.J.1004.2008.00736","volume":"34","author":"JY Zuo","year":"2010","unstructured":"Zuo JY, Liang Y, Pan Q et al (2010) Camshift tracker based on multiple color distribution models. Acta Automat Sin 34(7):736\u2013742 (in Chinese)","journal-title":"Acta Automat Sin"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-016-4068-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-016-4068-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-016-4068-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T04:56:18Z","timestamp":1657515378000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-016-4068-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,25]]},"references-count":21,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["4068"],"URL":"https:\/\/doi.org\/10.1007\/s11042-016-4068-9","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,25]]}}}