{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T11:48:42Z","timestamp":1742384922883,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540746935"},{"type":"electronic","value":"9783540746959"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-74695-9_62","type":"book-chapter","created":{"date-parts":[[2007,9,13]],"date-time":"2007-09-13T13:32:27Z","timestamp":1189690347000},"page":"603-610","source":"Crossref","is-referenced-by-count":2,"title":["Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm"],"prefix":"10.1007","author":[{"given":"Zhifeng","family":"Hao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhou","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaowei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"62_CR1","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/0031-3203(87)90017-3","volume":"20","author":"M.K. Leung","year":"1987","unstructured":"Leung, M.K., Yang, Y.H.: Human body motion segmentation in a complex scene. Pattern Recognition\u00a020, 55\u201364 (1987)","journal-title":"Pattern Recognition"},{"key":"62_CR2","doi-asserted-by":"crossref","unstructured":"Stauffer, C., Grimson, W.E.L.: Adaptive back-ground mixture models for real-time tracking. In: Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, vol.\u00a02, pp. 246\u2013252 (1999)","DOI":"10.1109\/CVPR.1999.784637"},{"key":"62_CR3","doi-asserted-by":"crossref","unstructured":"Elgammal, A., Harwood, D., Davis, L.: Non-parametric model for background subtraction. In: Proc. of European Conference on Computer Vision, vol. 2, pp. 751\u2013767 (2000)","DOI":"10.1007\/3-540-45053-X_48"},{"key":"62_CR4","unstructured":"Ridder, C., Munkelt, O., Kirchner, H.: Adaptive background estimation and foreground detection using Kalman filtering. In: Proc. Of Int. Conf. on Recent Advances in Mechatronics, pp. 193\u2013199 (1995)"},{"key":"62_CR5","volume-title":"Estimation of Dependencies Based on Empirical Data","author":"V.N. Vapnik","year":"1982","unstructured":"Vapnik, V.N.: Estimation of Dependencies Based on Empirical Data. Springer, Berlin (1982)"},{"key":"62_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995)"},{"key":"62_CR7","volume-title":"Support vector method for function approximation, regression estimation, and signal processing, Neural Information Processing Systems","author":"V.N. Vapnik","year":"1997","unstructured":"Vapnik, V.N., Golowich, S., Smola, A.: Support vector method for function approximation, regression estimation, and signal processing, Neural Information Processing Systems. MIT Press, Cambridge (1997)"},{"key":"62_CR8","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1023\/B:STCO.0000035301.49549.88","volume":"14","author":"A.J. Smola","year":"2004","unstructured":"Smola, A.J., Scholkopf, B.: A Tutorial on Support vector Regression. Statistics and computing\u00a014, 199\u2013222 (2004)","journal-title":"Statistics and computing"},{"key":"62_CR9","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.N.: Support vector networks. Machine Learning\u00a020, 273\u2013297 (1995)","journal-title":"Machine Learning"},{"key":"62_CR10","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/TITS.2004.837813","volume":"5","author":"C.H. Wu","year":"2004","unstructured":"Wu, C.H., Ho, J.M., Lee, D.T.: Travel-Time Prediction with Support Vector Regression. IEEE Transactions on Intelligent Transportation Systems\u00a05, 276\u2013281 (2004)","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"62_CR11","doi-asserted-by":"publisher","first-page":"1506","DOI":"10.1109\/TNN.2003.820556","volume":"14","author":"L.J. Cao","year":"2003","unstructured":"Cao, L.J., Tay, F.E.H.: Support vector machine with adaptive parameters in financial time series forecasting. IEEE Transactions on Neural Networks\u00a014, 1506\u20131518 (2003)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"62_CR12","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J.A.K. Suykens","year":"1999","unstructured":"Suykens, J.A.K., Vandewa, J.: Least Squares Support Vector Machine Classifiers. Neural Processing Letters\u00a09, 200\u2013293 (1999)","journal-title":"Neural Processing Letters"},{"key":"62_CR13","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/S0925-2312(01)00644-0","volume":"48","author":"J.A.K. Suykens","year":"2002","unstructured":"Suykens, J.A.K., Brabanter, J.D., Lukas, L., Vandewalle, J.: Weighted Least Squares Support Vector Machines: Robustness and Sparse Approximation. Neurocomputing\u00a048, 85\u2013105 (2002)","journal-title":"Neurocomputing"},{"key":"62_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"981","DOI":"10.1007\/11759966_144","volume-title":"Advances in Neural Networks - ISNN 2006","author":"S. Yu","year":"2006","unstructured":"Yu, S., Yang, X.W., Hao, Z.F., Liang, Y.C.: An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem. In: Wang, J., Yi, Z., Zurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol.\u00a03971, pp. 981\u2013990. Springer, Heidelberg (2006)"},{"key":"62_CR15","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1109\/81.855471","volume":"47","author":"J.A.K. Suykens","year":"2000","unstructured":"Suykens, J.A.K., Vandewalle, J.: Recurrent least squares support vector machines. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications\u00a047, 1109\u20131114 (2000)","journal-title":"IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications"},{"key":"62_CR16","first-page":"73","volume":"10","author":"J.H. Liu","year":"2003","unstructured":"Liu, J.H., Chen, J.P., Jiang, S., Cheng, J.S.: Online LS-SVM for function and classification. Journal of University of Science and Technology\u00a010, 73\u201377 (2003)","journal-title":"Journal of University of Science and Technology"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2013 ICANN 2007"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-74695-9_62","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T23:55:11Z","timestamp":1737417311000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-74695-9_62"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540746935","9783540746959"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-74695-9_62","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2007]]}}}