{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T11:41:48Z","timestamp":1725536508892},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642039140"},{"type":"electronic","value":"9783642039157"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"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":[[2009]]},"DOI":"10.1007\/978-3-642-03915-7_12","type":"book-chapter","created":{"date-parts":[[2009,8,26]],"date-time":"2009-08-26T07:55:29Z","timestamp":1251273329000},"page":"131-142","source":"Crossref","is-referenced-by-count":11,"title":["Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases"],"prefix":"10.1007","author":[{"given":"Costas","family":"Panagiotakis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikos","family":"Pelekis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioannis","family":"Kopanakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Giannotti, F., Nanni, M., Pinelli, F., Pedreschi, D.: Trajectory pattern mining. In: KDD 2007: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 330\u2013339 (2007)","DOI":"10.1145\/1281192.1281230"},{"issue":"3","key":"12_CR2","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1016\/S0031-3203(02)00100-0","volume":"36","author":"L. Wang","year":"2003","unstructured":"Wang, L., Hu, W., Tan, T.: Recent developments in human motion analysis. Pattern Recognition\u00a036(3), 585\u2013601 (2003)","journal-title":"Pattern Recognition"},{"key":"12_CR3","volume-title":"Geography, mobility, and privacy: a knowledge discovery vision","author":"F. Giannotti","year":"2007","unstructured":"Giannotti, F., Pedreschi, D.: Geography, mobility, and privacy: a knowledge discovery vision. Springer, Heidelberg (2007)"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Vlachos, M., Gunopulos, D., Das, G.: Rotation invariant distance measures for trajectories. In: KDD 2004: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 707\u2013712 (2004)","DOI":"10.1145\/1014052.1014144"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Chen, L., \u00d6zsu, M.T., Oria, V.: Robust and fast similarity search for moving object trajectories. In: SIGMOD 2005: Proc. of the 2005 ACM SIGMOD int. conf. on Management of data, pp. 491\u2013502 (2005)","DOI":"10.1145\/1066157.1066213"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Lee, J.G., Han, J., Whang, K.Y.: Trajectory clustering: a partition-and-group framework. In: SIGMOD 2007: Proceedings of the 2007 ACM SIGMOD international conference on Management of data, pp. 593\u2013604 (2007)","DOI":"10.1145\/1247480.1247546"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Lee, J.G., Han, J., Li, X., Gonzalez, H.: Traclass: trajectory classification using hierarchical region-based and trajectory-based clustering. In: PVLDB","DOI":"10.14778\/1453856.1453972"},{"issue":"6","key":"12_CR8","first-page":"1187","volume":"22","author":"C. Panagiotakis","year":"2008","unstructured":"Panagiotakis, C., Ramasso, E., Tziritas, G., Rombaut, M., Pellerin, D.: Shape-based individual\/group detection for sport videos categorization. IJPRAI\u00a022(6), 1187\u20131213 (2008)","journal-title":"IJPRAI"},{"key":"12_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/11789239_40","volume-title":"Articulated Motion and Deformable Objects","author":"C. Panagiotakis","year":"2006","unstructured":"Panagiotakis, C., Ramasso, E., Tziritas, G., Rombaut, M., Pellerin, D.: Shape-motion based athlete tracking for multilevel action recognition. In: Perales, F.J., Fisher, R.B. (eds.) AMDO 2006. LNCS, vol.\u00a04069, pp. 385\u2013394. Springer, Heidelberg (2006)"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Giannotti, F., Nanni, M., Pedreschi, D.: Efficient mining of sequences with temporal annotations. In: Proc. SIAM Conference on Data Mining, pp. 346\u2013357 (2006)","DOI":"10.1145\/1141277.1141413"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Anagnostopoulos, A., Vlachos, M., Hadjieleftheriou, M., Keogh, E., Yu, P.S.: Global distance-based segmentation of trajectories. In: KDD 2006: Proc. of the 12th ACM SIGKDD int. conf. on Knowledge discovery and data mining, pp. 34\u201343 (2006)","DOI":"10.1145\/1150402.1150411"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Pelekis, N., Kopanakis, I., Marketos, G., Ntoutsi, I., Andrienko, G., Theodoridis, Y.: Similarity search in trajectory databases. In: TIME 2007: Proc. of the 14th Int. Symposium on Temporal Representation and Reasoning, pp. 129\u2013140 (2007)","DOI":"10.1109\/TIME.2007.59"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Sacharidis, D., Patroumpas, K., Terrovitis, M., Kantere, V., Potamias, M., Mouratidis, K., Sellis, T.: On-line discovery of hot motion paths. In: EDBT 2008: Proc. of the 11th int. conf. on Extending database technology, pp. 392\u2013403 (2008)","DOI":"10.1145\/1353343.1353392"},{"issue":"2","key":"12_CR14","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/1345448.1345455","volume":"9","author":"G. Andrienko","year":"2007","unstructured":"Andrienko, G., Andrienko, N., Wrobel, S.: Visual analytics tools for analysis of movement data. SIGKDD Explor. Newsl.\u00a09(2), 38\u201346 (2007)","journal-title":"SIGKDD Explor. Newsl."},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Rubner, Y., Tomasi, C., Guibas, L.J.: A metric for distributions with applications to image databases. In: ICCV 1998: Proceedings of the Sixth International Conference on Computer Vision (1998)","DOI":"10.1109\/ICCV.1998.710701"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Shishibori, M., Tsuge, S., Le, Z., Sasaki, M., Uemura, Y., Kita, K.: A fast retrieval algorithm for the earth mover\u2019s distance using emd lower bounds. In: IRI, pp. 445\u2013450 (2008)","DOI":"10.1109\/IRI.2008.4583072"},{"key":"12_CR17","unstructured":"Lumelsky, V.J.: On fast computation of distance between line segments 21, 55\u201361 (1985)"},{"key":"12_CR18","volume-title":"Artificial Neural Networks","author":"D. Patterson","year":"1996","unstructured":"Patterson, D.: Artificial Neural Networks. Prentice-Hall, Englewood Cliffs (1996)"},{"issue":"2","key":"12_CR19","doi-asserted-by":"publisher","first-page":"3982","DOI":"10.1016\/j.eswa.2008.02.055","volume":"36","author":"J. Yuan","year":"2009","unstructured":"Yuan, J., Bo, L., Wang, K., Yu, T.: Adaptive spherical gaussian kernel in sparse bayesian learning framework for nonlinear regression. Expert Syst. Appl.\u00a036(2), 3982\u20133989 (2009)","journal-title":"Expert Syst. Appl."},{"key":"12_CR20","unstructured":"http:\/\/infolab.cs.unipi.gr\/pubs\/tkde2009\/"}],"container-title":["Lecture Notes in Computer Science","Advances in Intelligent Data Analysis VIII"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-03915-7_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T01:26:03Z","timestamp":1558488363000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-03915-7_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642039140","9783642039157"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-03915-7_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}