{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:09:26Z","timestamp":1775254166579,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319937007","type":"print"},{"value":"9783319937014","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-93701-4_50","type":"book-chapter","created":{"date-parts":[[2018,6,11]],"date-time":"2018-06-11T11:49:52Z","timestamp":1528717792000},"page":"631-643","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Anomalous Trajectory Detection Between Regions of Interest Based on ANPR System"],"prefix":"10.1007","author":[{"given":"Gao","family":"Ying","sequence":"first","affiliation":[]},{"given":"Nie","family":"Yiwen","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Xu","family":"Hongli","sequence":"additional","affiliation":[]},{"given":"Huang","family":"Liusheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,12]]},"reference":[{"key":"50_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/978-3-642-24541-1_9","volume-title":"Dependable and Historic Computing","author":"J Bacon","year":"2011","unstructured":"Bacon, J., Bejan, A.I., Beresford, A.R., Evans, D., Gibbens, R.J., Moody, K.: Using real-time road traffic data to evaluate congestion. In: Jones, C.B., Lloyd, J.L. (eds.) Dependable and Historic Computing. LNCS, vol. 6875, pp. 93\u2013117. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-24541-1_9"},{"key":"50_CR2","doi-asserted-by":"crossref","unstructured":"Mohamad, I., Ali, M.A.M., Ismail, M.: Abnormal driving detection using real time global positioning system data. In: IEEE International Conference on Space Science and Communication, pp. 1\u20136. IEEE (2011)","DOI":"10.1109\/IConSpace.2011.6015840"},{"key":"50_CR3","unstructured":"Fontes V, De Alencar L, Renso C, Bogorny V: Discovering trajectory outliers between regions of interest. In: Proceedings of the Brazilian Symposium on GeoInformatics, pp. 49\u201360. National Institute for Space Research, INPE (2013)"},{"key":"50_CR4","doi-asserted-by":"crossref","unstructured":"Sun, Y., Zhu, H., Liao, Y., et al.: Vehicle anomaly detection based on trajectory data of ANPR system. In: Global Communications Conference, pp. 1\u20136. IEEE (2016)","DOI":"10.1109\/GLOCOM.2015.7417520"},{"issue":"2","key":"50_CR5","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1109\/TITS.2013.2238531","volume":"14","author":"C Chen","year":"2013","unstructured":"Chen, C., Zhang, D., Castro, P.S., et al.: iBOAT: isolation-based online anomalous trajectory detection. IEEE Trans. Intell. Transp. Syst. 14(2), 806\u2013818 (2013)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"50_CR6","doi-asserted-by":"crossref","unstructured":"Lee, J.G., Han, J., Li, X.: Trajectory outlier detection: a partition-and-detect framework, pp. 140\u2013149 (2008)","DOI":"10.1109\/ICDE.2008.4497422"},{"key":"50_CR7","doi-asserted-by":"crossref","unstructured":"Papadimitriou, S., Kitagawa, H., Gibbons, P.B., et al.: LOCI: fast outlier detection using the local correlation integral. In: 2003 Proceedings of the International Conference on Data Engineering, pp. 315\u2013326. IEEE (2003)","DOI":"10.1109\/ICDE.2003.1260802"},{"issue":"2","key":"50_CR8","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1145\/335191.335437","volume":"29","author":"Sridhar Ramaswamy","year":"2000","unstructured":"Ramaswamy, S., Rastogi, R., Shim, K.: Efficient algorithms for mining outliers from large data sets. ACM SIGMOD International Conference on Management of Data, pp. 427\u2013438. ACM (2000)","journal-title":"ACM SIGMOD Record"},{"issue":"9","key":"50_CR9","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/S0167-8655(97)00060-3","volume":"18","author":"H Bunke","year":"1997","unstructured":"Bunke, H.: On a relation between graph edit distance and maximum common subgraph. Pattern Recogn. Lett. 18(9), 689\u2013694 (1997)","journal-title":"Pattern Recogn. Lett."},{"key":"50_CR10","unstructured":"Vlachos, M., Kollios, G., Gunopulos, D.: Discovering similar multidimensional trajectories. In: Proceedings of the International Conference on Data Engineering, p. 673. IEEE (2002)"},{"key":"50_CR11","unstructured":"Berndt, D.J.: Using dynamic time warping to find patterns in time series. KDD Workshop, pp. 359\u2013370 (1994)"},{"issue":"5","key":"50_CR12","doi-asserted-by":"crossref","first-page":"561","DOI":"10.3233\/IDA-2007-11508","volume":"11","author":"S Salvador","year":"2007","unstructured":"Salvador, S., Chan, P.: Toward accurate dynamic time warping in linear time and space. Intell. Data Anal. 11(5), 561\u2013580 (2007)","journal-title":"Intell. Data Anal."},{"key":"50_CR13","unstructured":"Yi, B.K., Jagadish, H.V., Faloutsos, C.: Efficient retrieval of similar time sequences under time warping. In: Proceedings of the International Conference on Data Engineering, pp. 201\u2013208. IEEE (2002)"},{"key":"50_CR14","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1137\/1.9781611972771.25","volume-title":"Proceedings of the 2007 SIAM International Conference on Data Mining","author":"Xiaolei Li","year":"2007","unstructured":"Li, X., Han, J., Kim, S., et al.: ROAM: rule- and motif-based anomaly detection in massive moving object data sets. In: SIAM International Conference on Data Mining, 26\u201328 April 2007, Minneapolis, Minnesota, USA. DBLP (2007)"},{"key":"50_CR15","unstructured":"Knorr, E.M., Ng, R.T.: Algorithms for mining distance-based outliers in large datasets. In: International Conference on Very Large Data Bases, pp. 392\u2013403. Morgan Kaufmann Publishers Inc. (1998)"},{"issue":"3\u20134","key":"50_CR16","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s007780050006","volume":"8","author":"EM Knorr","year":"2000","unstructured":"Knorr, E.M., Ng, R.T., Tucakov, V.: Distance-based outliers: algorithms and applications. VLDB J. 8(3\u20134), 237\u2013253 (2000)","journal-title":"VLDB J."},{"key":"50_CR17","unstructured":"Knorr, E.M., Ng, R.T.: Finding Intensional Knowledge of Distance-Based Outliers. In: VLDB, pp. 211\u2013222 (1999)"},{"key":"50_CR18","doi-asserted-by":"crossref","unstructured":"Breunig, M.M., Kriegel, H.P., Ng, R.T.: LOF: identifying density-based local outliers. ACM SIGMOD International Conference on Management of Data, pp. 93\u2013104. ACM (2000)","DOI":"10.1145\/335191.335388"},{"key":"50_CR19","doi-asserted-by":"crossref","unstructured":"Jin, W., Tung, A.K.H., Han, J.: Mining top-n local outliers in large databases, pp. 293\u2013298 (2001)","DOI":"10.1145\/502512.502554"},{"key":"50_CR20","doi-asserted-by":"crossref","unstructured":"Homayounfar, A., Ho, A.T.S., Zhu, N., et al.: Multi-vehicle convoy analysis based on ANPR data. In: International Conference on Imaging for Crime Detection and Prevention, pp. 1\u20135. IET (2012)","DOI":"10.1049\/ic.2011.0135"},{"issue":"99","key":"50_CR21","first-page":"1","volume":"PP","author":"Z Fu","year":"2017","unstructured":"Fu, Z., Tian, Z., Xu, Y., et al.: Mining frequent route patterns based on personal trajectory abstraction. IEEE Access PP(99), 1 (2017)","journal-title":"IEEE Access"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93701-4_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T02:15:24Z","timestamp":1751681724000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-93701-4_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319937007","9783319937014"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93701-4_50","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"12 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuxi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"406","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"148","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}