{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T07:15:28Z","timestamp":1775286928760,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,11,28]],"date-time":"2018-11-28T00:00:00Z","timestamp":1543363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information and communications Technology Promotion","doi-asserted-by":"publisher","award":["R0190-16-2012"],"award-info":[{"award-number":["R0190-16-2012"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["NRF-2016R1D1A1A09919590"],"award-info":[{"award-number":["NRF-2016R1D1A1A09919590"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Image Video Proc."],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s13640-018-0374-7","type":"journal-article","created":{"date-parts":[[2018,11,28]],"date-time":"2018-11-28T07:07:26Z","timestamp":1543388846000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Real-time car tracking system based on surveillance videos"],"prefix":"10.1186","volume":"2018","author":[{"given":"Seungwon","family":"Jung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongsung","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eenjun","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,28]]},"reference":[{"key":"374_CR1","doi-asserted-by":"publisher","first-page":"1517","DOI":"10.1002\/sec.802","volume":"7","author":"D Kim","year":"2014","unstructured":"D. Kim, E. Hwang, S. Rho, Multi-camera-based security log management scheme for smart surveillance. Secur Commun Netw 7, 1517 (2014)","journal-title":"Secur Commun Netw"},{"key":"374_CR2","doi-asserted-by":"crossref","unstructured":"CO Manlises, JM Martinez, JL Belenzo, CK Perez, and MKTA Postrero, Real-time integrated CCTV using face and pedestrian detection image processing algorithm for automatic traffic light transitions, in Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2015 International Conference on (IEEE, 2015), pp. 1","DOI":"10.1109\/HNICEM.2015.7393205"},{"key":"374_CR3","doi-asserted-by":"crossref","unstructured":"MML Elahi, R Yasir, MA Syrus, MSZ Nine, I Hossain, and N Ahmed, Computer vision based road traffic accident and anomaly detection in the context of Bangladesh, in Informatics, Electronics & Vision (ICIEV), 2014 International Conference on (IEEE, 2014), pp. 1","DOI":"10.1109\/ICIEV.2014.6850780"},{"key":"374_CR4","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/978-3-319-13386-7_17","volume-title":"Biometric Authentication","author":"Yu Guan","year":"2014","unstructured":"Y. Guan, X. Wei, C.T. Li, Y. Keller, in International Workshop on Biometric Authentication. People identification and tracking through fusion of facial and gait features (Springer, Cham, 2014), p. 209"},{"key":"374_CR5","doi-asserted-by":"publisher","first-page":"18174","DOI":"10.1109\/ACCESS.2018.2812835","volume":"6","author":"K Muhammad","year":"2018","unstructured":"K. Muhammad, J. Ahmad, I. Mehmood, S. Rho, S.W. Baik, Convolutional neural networks based fire detection in surveillance videos. IEEE Access 6, 18174 (2018)","journal-title":"IEEE Access"},{"key":"374_CR6","unstructured":"Apache Kafka. https:\/\/kafka.apache.org\/ . Accessed 30 July 2018"},{"key":"374_CR7","unstructured":"Apache HBase. https:\/\/hbase.apache.org\/ . Accessed 30 July 2018"},{"key":"374_CR8","doi-asserted-by":"crossref","unstructured":"Y. Nam, Y.C. Nam, Vehicle classification based on images from visible light and thermal cameras. EURASIP J Image Video Process 2018(5) (2018)","DOI":"10.1186\/s13640-018-0245-2"},{"key":"374_CR9","doi-asserted-by":"publisher","unstructured":"A Suryatali and V Dharmadhikari, Computer vision based vehicle detection for toll collection system using embedded Linux, in Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on (IEEE, 2015), pp. 1. https:\/\/doi.org\/10.18063\/cse.v0i0.405","DOI":"10.18063\/cse.v0i0.405"},{"key":"374_CR10","unstructured":"J. Solanki, V. Rajguru, A. Saxena, Recognition of vehicle number plate using image processing technique. Control Syst Eng (2018)"},{"key":"374_CR11","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.procs.2017.10.068","volume":"116","author":"J Tarigan","year":"2017","unstructured":"J. Tarigan, R. Diedan, Y. Suryana, Plate recognition using backpropagation neural network and genetic algorithm. Procedia Computer Sci 116, 365 (2017)","journal-title":"Procedia Computer Sci"},{"key":"374_CR12","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s00371-013-0917-y","volume":"31","author":"Y Rao","year":"2015","unstructured":"Y. Rao, Automatic vehicle recognition in multiple cameras for video surveillance. Vis. Comput. 31, 271 (2015)","journal-title":"Vis. Comput."},{"key":"374_CR13","doi-asserted-by":"crossref","unstructured":"YL Chen, TS Chen, TW Huang, LC Yin, SY Wang, and TC Chiueh, Intelligent urban video surveillance system for automatic vehicle detection and tracking in clouds, in Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on (IEEE, 2013), pp. 814","DOI":"10.1109\/AINA.2013.23"},{"key":"374_CR14","unstructured":"Google Maps. https:\/\/cloud.google.com\/maps-platform\/ . Accessed 30 July 2018"},{"key":"374_CR15","unstructured":"Apache Hadoop. https:\/\/hadoop.apache.org\/ . Accessed 30 July 2018"},{"key":"374_CR16","unstructured":"Apache Spark. https:\/\/spark.apache.org\/ . Accessed 30 July 2018"},{"key":"374_CR17","doi-asserted-by":"crossref","unstructured":"C Ryu, D Lee, M Jang, C Kim, and E Seo, Extensible video processing framework in apache hadoop, in Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on (IEEE, 2013), pp. 305","DOI":"10.1109\/CloudCom.2013.153"},{"key":"374_CR18","doi-asserted-by":"publisher","DOI":"10.2991\/aiie-15.2015.15","volume-title":"The optimization of task assignments on Hadoop platform for large-number image processing","author":"G Zhang","year":"2015","unstructured":"G. Zhang, W. Q, L. Huang, B. Chen, The optimization of task assignments on Hadoop platform for large-number image processing (2015)"},{"key":"374_CR19","unstructured":"C Sweeney, L Liu, S Arietta, and J Lawrence, HIPI: a Hadoop image processing interface for image-based Mapreduce Tasks, Chris. University of Virginia (2011)"},{"key":"374_CR20","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1145\/1536616.1536632","volume":"52","author":"A Jacobs","year":"2009","unstructured":"A. Jacobs, The pathologies of big data. Commun. ACM 52, 36 (2009)","journal-title":"Commun. ACM"},{"key":"374_CR21","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1186\/s13640-018-0279-5","volume":"2018","author":"YK Kim","year":"2018","unstructured":"Y.K. Kim, Y. Kim, C.S. Jeong, RIDE: real-time massive image processing platform on distributed environment. EURASIP J Image Video Process 2018, 39 (2018)","journal-title":"EURASIP J Image Video Process"},{"key":"374_CR22","unstructured":"Apache Cassandra. https:\/\/cassandra.apache.org\/ . Accessed 30 July 2018"},{"key":"374_CR23","unstructured":"MongoDB. https:\/\/www.mongodb.com\/ . Accessed 30 July 2018"},{"issue":"2","key":"374_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1365815.1365816","volume":"26","author":"Fay Chang","year":"2008","unstructured":"F. Chang, J. Dean, S. Ghemawat, W.C. Hsieh, D.A. Wallach, M. Burrows, T. Chandra, A. Fikes, R.E. Gruber, Bigtable: a distributed storage system for structured data. ACM Trans Comput Syst (TOCS) 26(4) (2008)","journal-title":"ACM Transactions on Computer Systems"},{"issue":"2","key":"374_CR25","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1145\/971697.602266","volume":"14","author":"Antonin Guttman","year":"1984","unstructured":"A Guttman, R-trees: A dynamic index structure for spatial searching (ACM, New York, 1984), Vol. 14, 2","journal-title":"ACM SIGMOD Record"},{"key":"374_CR26","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.ins.2017.01.016","volume":"388","author":"H Wang","year":"2017","unstructured":"H. Wang, A. Belhassena, Parallel trajectory search based on distributed index. Inf. Sci. 388, 62 (2017)","journal-title":"Inf. Sci."},{"key":"374_CR27","doi-asserted-by":"crossref","unstructured":"N Du, J Zhan, M Zhao, D Xiao, and Y Xie, Spatio-temporal data index model of moving objects on fixed networks using hbase, in Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on (IEEE, 2015), pp. 247","DOI":"10.1109\/CICT.2015.32"},{"key":"374_CR28","doi-asserted-by":"crossref","unstructured":"H Sagan, Hilbert\u2019s space-filling curve, in space-filling curves (Springer, 1994), pp. 9","DOI":"10.1007\/978-1-4612-0871-6_2"},{"issue":"1","key":"374_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/BF00288933","volume":"4","author":"R. A. Finkel","year":"1974","unstructured":"R.A. Finkel, J.L. Bentley, Quad trees a data structure for retrieval on composite keys. Acta Informatica 4(1) (1974)","journal-title":"Acta Informatica"},{"key":"374_CR30","doi-asserted-by":"crossref","unstructured":"X Chen, C Zhang, B Ge, and W Xiao, Spatio-temporal queries in HBase, in Big Data (Big Data), 2015 IEEE International Conference on (IEEE, 2015), Pp. 1929","DOI":"10.1109\/BigData.2015.7363970"},{"key":"374_CR31","doi-asserted-by":"crossref","unstructured":"X Xie, Z Xiong, G Zhou, and G Cai, WIT Trans Inf Commun Technol 49, 691 (2014)","DOI":"10.2495\/ICIE130812"},{"key":"374_CR32","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1109\/ACCESS.2015.2506648","volume":"4","author":"BW Chen","year":"2016","unstructured":"B.W. Chen, W. Ji, F. Jiang, S. Rho, QoE-enabled big video streaming for large-scale heterogeneous clients and networks in smart cities. IEEE Access 4, 97 (2016)","journal-title":"IEEE Access"},{"key":"374_CR33","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"N. Otsu, A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9, 62 (1979)","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"374_CR34","doi-asserted-by":"crossref","unstructured":"R Smith, An overview of the Tesseract OCR engine, in Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on (IEEE, 2007), pp. 629","DOI":"10.1109\/ICDAR.2007.4376991"},{"issue":"2","key":"374_CR35","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1145\/93605.98741","volume":"19","author":"Norbert Beckmann","year":"1990","unstructured":"N Beckmann, HP Kriegel, R Schneider, and B Seeger, The R*-tree: an efficient and robust access method for points and rectangles, in Acm Sigmod Record (ACM, New York, 1990), pp. 322","journal-title":"ACM SIGMOD Record"},{"key":"374_CR36","unstructured":"I. Kamel, C. Faloutsos, in Proceedings of the 20th International Conference on Very Large Data Bases. Hilbert R-tree: an improved R-tree using fractals (Morgan Kaufmann Publishers Inc, San Francisco, 1994), p. 500"},{"key":"374_CR37","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.isprsjprs.2007.05.007","volume":"62","author":"Q Zhu","year":"2007","unstructured":"Q. Zhu, J. Gong, Y. Zhang, An efficient 3D R-tree spatial index method for virtual geographic environments. ISPRS J. Photogramm. Remote Sens. 62, 217 (2007)","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"374_CR38","doi-asserted-by":"crossref","unstructured":"C. Faloutsos, S. Roseman, in Proceedings of the eighth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems. Fractals for secondary key retrieval (ACM, New York, 1989), p. 247","DOI":"10.1145\/73721.73746"},{"key":"374_CR39","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1109\/69.908985","volume":"13","author":"B Moon","year":"2001","unstructured":"B. Moon, H.V. Jagadish, C. Faloutsos, J.H. Saltz, Analysis of the clustering properties of the Hilbert space-filling curve. IEEE Trans. Knowl. Data Eng. 13, 124 (2001)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"374_CR40","first-page":"207","volume-title":"Proceedings of the 6th AIRCC International Conference on Parallel, Distributed Computing Technologies and Applications (PDCTA)","author":"YK Kim","year":"2017","unstructured":"Y.K. Kim, C.S. Jeong, in Proceedings of the 6th AIRCC International Conference on Parallel, Distributed Computing Technologies and Applications (PDCTA). Large scale image processing in real-time environments with Kafka (2017), p. 207"}],"container-title":["EURASIP Journal on Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-018-0374-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13640-018-0374-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-018-0374-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:31:43Z","timestamp":1775284303000},"score":1,"resource":{"primary":{"URL":"https:\/\/jivp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13640-018-0374-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,28]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["374"],"URL":"https:\/\/doi.org\/10.1186\/s13640-018-0374-7","relation":{},"ISSN":["1687-5281"],"issn-type":[{"value":"1687-5281","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,28]]},"assertion":[{"value":"30 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 November 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 November 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Seungwon Jung received his B.S. degree in Electronic Engineering from Korea University, Seoul, Korea, in 2016. He is currently a Master\u2019s student at the School of Electronic Engineering at the Korea University, Seoul, Korea. His research interests include data mining, machine learning, and databases.Yongsung Kim received his M.S. degree in Electrical and Computer Engineering from the Korea University, Seoul, Korea, in 2013. He is a Ph.D. student at the School of Electrical Engineering at the Korea University, Seoul, Korea. His current research interests include educational technology, e-learning systems, machine learning, and semantic web applications in education.Eenjun Hwang received his B.S. and M.S. degrees in Computer Engineering from Seoul National University, Seoul, Korea, in 1988 and 1990, respectively, and his Ph.D. degree in Computer Science from the University of Maryland, College Park, in 1998. From September 1999 to August 2004, he was with the Graduate School of Information and Communication, Ajou University, Suwon, Korea. He is a currently a member of the faculty at the School of Electrical Engineering, Korea University, Seoul, South Korea. His current research interests include databases, multimedia systems, information retrieval, big data processing, and healthcare applications.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Authors\u2019 information"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"133"}}