{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T08:13:20Z","timestamp":1725869600859},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319486734"},{"type":"electronic","value":"9783319486741"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48674-1_50","type":"book-chapter","created":{"date-parts":[[2016,10,31]],"date-time":"2016-10-31T00:00:37Z","timestamp":1477872037000},"page":"567-577","source":"Crossref","is-referenced-by-count":1,"title":["Scale Invariant Kernelized Correlation Filter Based on Gaussian Output"],"prefix":"10.1007","author":[{"given":"Xiangbo","family":"Su","sequence":"first","affiliation":[]},{"given":"Baochang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Linlin","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Zhigang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yun","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,1]]},"reference":[{"issue":"4","key":"50_CR1","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1145\/1177352.1177355","volume":"38","author":"A Yilmaz","year":"2006","unstructured":"Yilmaz, A., Javed, O., Shah, M.: Object tracking: a survey. ACM Comput. Survey 38(4), 13 (2006)","journal-title":"ACM Comput. Survey"},{"key":"50_CR2","doi-asserted-by":"crossref","unstructured":"Yao, R., Shi, Q., Shen, C., Zhang, Y., Hengel, A.V.: Part-based visual tracking with online latent structural learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), pp. 25\u201327. IEEE (2013)","DOI":"10.1109\/CVPR.2013.306"},{"key":"50_CR3","doi-asserted-by":"crossref","unstructured":"Adam, A., Rivlin, E., Shimshoni, I.: Robust fragments-based tracking using the integral histogram. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 798\u2013805. IEEE (2006)","DOI":"10.1109\/CVPR.2006.256"},{"issue":"1\u20133","key":"50_CR4","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"DA Ross","year":"2008","unstructured":"Ross, D.A., Lim, J., Lin, R.S., Yang, M.H.: Incremental learning for robust visual tracking. Int. J. Comput. Vis. 77(1\u20133), 125\u2013141 (2008)","journal-title":"Int. J. Comput. Vis."},{"key":"50_CR5","doi-asserted-by":"crossref","unstructured":"Zhang, K., Zhang, L., Yang, M., Zhang, D.: Fast tracking via spatio-temporal context learning. In: Proceedings of European Conference on Computer Vision (ECCV), pp. 127\u2013141. IEEE (2014)","DOI":"10.1007\/978-3-319-10602-1_9"},{"key":"50_CR6","doi-asserted-by":"crossref","unstructured":"Wu, Y., Lim, J., Yang, M.-H.: Online object tracking: a benchmark. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2411\u20132418. IEEE (2013)","DOI":"10.1109\/CVPR.2013.312"},{"issue":"9","key":"50_CR7","doi-asserted-by":"crossref","first-page":"2170","DOI":"10.1016\/j.patcog.2011.03.002","volume":"44","author":"Z Han","year":"2011","unstructured":"Han, Z., Jiao, J., Zhang, B., Ye, Q., Liu, J.: Visual object tracking via sample-based adaptive sparse representation. Pattern Recogn. 44(9), 2170\u20132183 (2011)","journal-title":"Pattern Recogn."},{"key":"50_CR8","doi-asserted-by":"crossref","unstructured":"Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: Exploiting the circulant structure of tracking-by-detection with kernels. In: Proceedings of European Conference on Computer Vision (ECCV), pp. 702\u2013715. IEEE (2012)","DOI":"10.1007\/978-3-642-33765-9_50"},{"issue":"3","key":"50_CR9","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: High speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 583\u2013596 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"50_CR10","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Hager, G., Khan, F.S., Felsberg, M.: Accurate scale estimation for robust visual tracking. In: Proceedings of British Machine Vision Conference (BMVC). BMVA Press, 1\u20135 September 2014","DOI":"10.5244\/C.28.65"},{"key":"50_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, B., Perina, A., Li, Z., Murino, V., Liu, J., Ji, R.: Bounding multiple gaussians uncertainty with application to object tracking. Int. J. Comput. Vis., pp. 1\u201316 (2016)","DOI":"10.1016\/j.jvlc.2016.02.001"},{"issue":"7","key":"50_CR12","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1109\/TPAMI.2011.239","volume":"34","author":"Z Kalal","year":"2012","unstructured":"Kalal, Z., Mikolajczyk, K., Matas, J.: Tracking-learning-detection. IEEE Trans. Pattern Anal. Mach. Intell. 34(7), 1409\u20131422 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"50_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/978-3-642-17534-3_45","volume-title":"Neural Information Processing. Models and Applications","author":"G Cabanes","year":"2010","unstructured":"Cabanes, G., Bennani, Y.: Learning topological constraints in self-organizing map. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds.) ICONIP 2010. LNCS, vol. 6444, pp. 367\u2013374. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-17534-3_45"},{"key":"50_CR14","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Elsevier, New York (2006)"},{"issue":"7","key":"50_CR15","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1109\/TNNLS.2014.2342533","volume":"26","author":"B Gu","year":"2015","unstructured":"Gu, B., Sheng, V.S., Tay, K.Y., Romano, W., Li, S.: Incremental support vector learning for ordinal regression. IEEE Trans. Neural Netw. Learn. Syst. 26(7), 1403\u20131416 (2015)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"50_CR16","unstructured":"Zhang, B., Li, Z., Perina, A., Del Bue, A., Murino, V.: Adaptive local movement modelling (ALMM) for object tracking. In: IEEE Transactions on Circuits and Systems for Video Technology, in press"},{"issue":"2","key":"50_CR17","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TPAMI.2008.79","volume":"31","author":"J Wright","year":"2009","unstructured":"Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y.: Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Mach. Intell. 31(2), 210\u2013227 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"50_CR18","doi-asserted-by":"crossref","unstructured":"Zhang, B., Perina, A., Murino, V., Del Bue, A.: Sparse representation classification with manifold constraints transfer. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4557\u20134565 (2015)","DOI":"10.1109\/CVPR.2015.7299086"},{"key":"50_CR19","doi-asserted-by":"crossref","unstructured":"Ma, C., Yang, X., Zhang, C., Yang, M.-H.: Long-term correlation tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5388\u20135396 (2015)","DOI":"10.1109\/CVPR.2015.7299177"},{"issue":"2","key":"50_CR20","first-page":"317","volume":"16","author":"Y Ren","year":"2015","unstructured":"Ren, Y., Shen, J., Wang, J., Han, J., Lee, S.: Mutual verifiable provable data auditing in public cloud storage. J. Internet Technol. 16(2), 317\u2013323 (2015)","journal-title":"J. Internet Technol."},{"key":"50_CR21","doi-asserted-by":"crossref","unstructured":"Ma, T., Zhou, J., Tang, M., Tian, Y., Al-Dhelaan, A., Al-Rodhaan, M., Lee, S.: Social network and tag sources based augmenting collaborative recommender system. In: IEICE transactions on Information and Systems, vol. E98-D, no. 4, pp. 902\u2013910, April 2015","DOI":"10.1587\/transinf.2014EDP7283"},{"issue":"3","key":"50_CR22","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/TIFS.2014.2381872","volume":"10","author":"J Li","year":"2015","unstructured":"Li, J., Li, X., Yang, B., Sun, X.: Segmentation-based image copy-move forgery detection scheme. IEEE Trans. Inf. Forensics Secur. 10(3), 507\u2013518 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"1","key":"50_CR23","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/S0262-8856(02)00129-4","volume":"21","author":"K Nummiaro","year":"2003","unstructured":"Nummiaro, K., Koller-Meier, E.: An adaptive color-based particle filter. Image Vis. Comput. 21(1), 99\u2013110 (2003)","journal-title":"Image Vis. Comput."}],"container-title":["Lecture Notes in Computer Science","Cloud Computing and Security"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48674-1_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,15]],"date-time":"2019-09-15T00:46:51Z","timestamp":1568508411000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48674-1_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319486734","9783319486741"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48674-1_50","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}