{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T18:28:46Z","timestamp":1778696926079,"version":"3.51.4"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,4,9]],"date-time":"2017-04-09T00:00:00Z","timestamp":1491696000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,4,9]],"date-time":"2017-04-09T00:00:00Z","timestamp":1491696000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001843","name":"Science and Engineering Research Board","doi-asserted-by":"publisher","award":["SB\/FTP\/ETA-0059\/2014"],"award-info":[{"award-number":["SB\/FTP\/ETA-0059\/2014"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s12652-017-0480-x","type":"journal-article","created":{"date-parts":[[2017,4,9]],"date-time":"2017-04-09T04:31:13Z","timestamp":1491712273000},"page":"1213-1227","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Segmenting foreground objects in a multi-modal background using modified Z-score"],"prefix":"10.1007","volume":"15","author":[{"given":"Suman Kumar","family":"Choudhury","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pankaj Kumar","family":"Sa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kim-Kwang Raymond","family":"Choo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sambit","family":"Bakshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,4,9]]},"reference":[{"issue":"1","key":"480_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.patrec.2012.07.005","volume":"34","author":"X Wang","year":"2013","unstructured":"Wang X (2013) Intelligent multi-camera video surveillance: a review. Pattern Recogn Lett 34(1):3\u201319","journal-title":"Pattern Recogn Lett"},{"issue":"2","key":"480_CR2","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s12652-010-0034-y","volume":"2","author":"G Doretto","year":"2011","unstructured":"Doretto G, Sebastian T, Tu P, Rittscher J (2011) Appearance-based person reidentification in camera networks: problem overview and current approaches. J Ambient Intell Hum Comput 2(2):127\u2013151","journal-title":"J Ambient Intell Hum Comput"},{"issue":"2","key":"480_CR3","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s12652-013-0181-z","volume":"5","author":"P Albano","year":"2014","unstructured":"Albano P, Bruno A, Carpentieri B, Castiglione A, Castiglione A, Palmieri F, Pizzolante R, Yim K, You I (2014) Secure and distributed video surveillance via portable devices. J Ambient Intell Hum Comput 5(2):205\u2013213","journal-title":"J Ambient Intell Hum Comput"},{"issue":"5","key":"480_CR4","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s12652-013-0188-5","volume":"5","author":"F De Smedt","year":"2014","unstructured":"De Smedt F, Struyf L, Beckers S, Vennekens J, De Samblanx G, Goedem\u00e9 T (2014) Faster and more intelligent object detection by combining opencl and kr. J Ambient Intell Hum Comput 5(5):635\u2013643","journal-title":"J Ambient Intell Hum Comput"},{"key":"480_CR5","doi-asserted-by":"crossref","unstructured":"Varga D, Szir\u00e1nyi T (2017) Robust real-time pedestrian detection in surveillance videos. J Ambient Intell Hum Comput 8(1):79\u201385","DOI":"10.1007\/s12652-016-0369-0"},{"key":"480_CR6","doi-asserted-by":"crossref","unstructured":"Setitra I, Larabi S (2014) Background subtraction algorithms with post-processing: a review. In: 22nd international conference on pattern recognition (ICPR), IEEE, pp 2436\u20132441","DOI":"10.1109\/ICPR.2014.421"},{"key":"480_CR7","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.cviu.2013.12.005","volume":"122","author":"A Sobral","year":"2014","unstructured":"Sobral A, Vacavant A (2014) A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. Comput Vis Image Underst 122:4\u201321","journal-title":"Comput Vis Image Underst"},{"issue":"1","key":"480_CR8","first-page":"1","volume":"5","author":"A Elgammal","year":"2014","unstructured":"Elgammal A (2014) Background subtraction: theory and practice. Synth Lect Comput Vis 5(1):1\u201383","journal-title":"Synth Lect Comput Vis"},{"issue":"7","key":"480_CR9","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1109\/34.598236","volume":"19","author":"C Wren","year":"1997","unstructured":"Wren C, Azarbayejani A, Darrell T, Pentland A (1997) P finder: real-time tracking of the human body. IEEE Trans Pattern Anal Mach Intell 19(7):780\u2013785","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"480_CR10","first-page":"246","volume":"2","author":"C Stauffer","year":"1999","unstructured":"Stauffer C, Grimson W (1999) Adaptive background mixture models for real-time tracking. IEEE Comput Soc Conf Comput Vis Pattern Recogn 2:246\u2013252","journal-title":"IEEE Comput Soc Conf Comput Vis Pattern Recogn"},{"issue":"8","key":"480_CR11","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1109\/34.868677","volume":"22","author":"C Stauffer","year":"2000","unstructured":"Stauffer C, Grimson W (2000) Learning patterns of activity using real-time tracking. IEEE Trans Pattern Anal Mach Intell 22(8):747\u2013757","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"480_CR12","first-page":"28","volume":"2","author":"Z Zivkovic","year":"2004","unstructured":"Zivkovic Z (2004) Improved adaptive Gaussian mixture model for background subtraction. Int Conf Pattern Recogn IEEE 2:28\u201331","journal-title":"Int Conf Pattern Recogn IEEE"},{"issue":"7","key":"480_CR13","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1016\/j.patrec.2005.11.005","volume":"27","author":"Z Zivkovic","year":"2006","unstructured":"Zivkovic Z, van der Heijden F (2006) Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recogn Lett 27(7):773\u2013780","journal-title":"Pattern Recogn Lett"},{"issue":"3","key":"480_CR14","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.rti.2004.12.004","volume":"11","author":"K Kim","year":"2005","unstructured":"Kim K, Halidabhongse T, Harwood D, Davis L (2005) Real-time foreground-background segmentation using codebook model. Real Time Imaging 11(3):172\u2013185","journal-title":"Real Time Imaging"},{"issue":"8","key":"480_CR15","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/j.aeue.2009.05.004","volume":"64","author":"M Wu","year":"2010","unstructured":"Wu M, Peng X (2010) Spatio-temporal context for codebook-based dynamic background subtraction. AEU Int J Electron Commun 64(8):739\u2013747","journal-title":"AEU Int J Electron Commun"},{"issue":"7","key":"480_CR16","doi-asserted-by":"publisher","first-page":"8895","DOI":"10.3390\/s130708895","volume":"13","author":"E Fernandez-Sanchez","year":"2013","unstructured":"Fernandez-Sanchez E, Diaz J, Ros E (2013) Background subtraction based on color and depth using active sensors. Sensors (Basel, Switzerland) 13(7):8895\u20138915","journal-title":"Sensors (Basel, Switzerland)"},{"key":"480_CR17","doi-asserted-by":"crossref","unstructured":"Lo B, Velastin S (2001) Automatic congestion detection system for underground platforms. International symposium on intelligent multimedia. video and speech processing, IEEE, pp 158\u2013161","DOI":"10.1109\/ISIMP.2001.925356"},{"issue":"10","key":"480_CR18","doi-asserted-by":"publisher","first-page":"1337","DOI":"10.1109\/TPAMI.2003.1233909","volume":"25","author":"R Cucchiara","year":"2003","unstructured":"Cucchiara R, Grana C, Piccardi M, Prati A (2003) Detecting moving objects, ghosts, and shadows in video streams. IEEE Trans Pattern Anal Mach Intell 25(10):1337\u20131342","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"480_CR19","doi-asserted-by":"crossref","unstructured":"Calderara S, Melli R, Prati A, Cucchiara R (2006) Reliable background suppression for complex scenes. In: ACM international multimedia conference and exhibition, pp 211\u2013214","DOI":"10.1145\/1178782.1178814"},{"key":"480_CR20","first-page":"255","volume":"1","author":"K Toyama","year":"1999","unstructured":"Toyama K, Krumm J, Brumitt B, Meyers B (1999) Wallflower: principles and practice of background maintenance. IEEE Int Conf Comput Vis 1:255\u2013261","journal-title":"IEEE Int Conf Comput Vis"},{"key":"480_CR21","first-page":"44","volume":"1","author":"J Zhong","year":"2003","unstructured":"Zhong J, Sclaroff S (2003) Segmenting foreground objects from a dynamic textured background via a robust Kalman filter. IEEE Int Conf Comput Vis 1:44\u201350","journal-title":"IEEE Int Conf Comput Vis"},{"key":"480_CR22","first-page":"223","volume":"1","author":"H Wang","year":"2006","unstructured":"Wang H, Suter D (2006) Background subtraction based on a robust consensus method. Proc Int Conf Pattern Recognn 1:223\u2013226","journal-title":"Proc Int Conf Pattern Recognn"},{"issue":"3","key":"480_CR23","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1016\/j.patcog.2006.05.024","volume":"40","author":"H Wang","year":"2007","unstructured":"Wang H, Suter D (2007) A consensus-based method for tracking: modelling background scenario and foreground appearance. Pattern Recogn 40(3):1091\u20131105","journal-title":"Pattern Recogn"},{"issue":"5","key":"480_CR24","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1109\/LSP.2009.2016447","volume":"16","author":"J McHugh","year":"2009","unstructured":"McHugh J, Konrad J, Saligrama V, Jodoin PM (2009) Foreground-adaptive background subtraction. IEEE Signal Process Lett 16(5):390\u2013393","journal-title":"IEEE Signal Process Lett"},{"issue":"4","key":"480_CR25","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1109\/TPAMI.2006.68","volume":"28","author":"M Heikkil","year":"2006","unstructured":"Heikkil M, Pietikinen M (2006) A texture-based method for modeling the background and detecting moving objects. IEEE Trans Pattern Anal Mach Intell 28(4):657\u2013662","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"480_CR26","doi-asserted-by":"crossref","unstructured":"Elgammal A, Harwood D, Davis L (2000) Non-parametric model for background subtraction. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 1843:751\u2013767","DOI":"10.1007\/3-540-45053-X_48"},{"key":"480_CR27","first-page":"3399","volume":"5","author":"M Piccardi","year":"2004","unstructured":"Piccardi M, Jan Z (2004) Mean-shift background image modelling. Int Conf Image Process IEEE 5:3399\u20133402","journal-title":"Int Conf Image Process IEEE"},{"key":"480_CR28","first-page":"II-563","volume":"2","author":"A Elgammal","year":"2001","unstructured":"Elgammal A, Duraiswami R, Davis LS (2001) Efficient non-parametric adaptive color modeling using fast Gauss transform. IEEE Comput Soc Conf Comput Vis Pattern Recogn IEEE 2:II-563","journal-title":"IEEE Comput Soc Conf Comput Vis Pattern Recogn IEEE"},{"key":"480_CR29","first-page":"1916","volume":"2","author":"T Parag","year":"2006","unstructured":"Parag T, Elgammal A, Mittal A (2006) A framework for feature selection for background subtraction. IEEE Comput Soc Conf Comput Vis Pattern Recogn IEEE 2:1916\u20131923","journal-title":"IEEE Comput Soc Conf Comput Vis Pattern Recogn IEEE"},{"key":"480_CR30","doi-asserted-by":"crossref","unstructured":"Hongxun Z, De X (2006) Fusing color and texture features for background model. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 4223 LNAI:887\u2013893","DOI":"10.1007\/11881599_110"},{"key":"480_CR31","doi-asserted-by":"crossref","unstructured":"El\u00a0Baf F, Bouwmans T, Vachon B (2008) Foreground detection using the Choquet integral. In: International workshop on image analysis for multimedia interactive services, IEEE, pp 187\u2013190","DOI":"10.1109\/WIAMIS.2008.9"},{"key":"480_CR32","doi-asserted-by":"crossref","unstructured":"Azab MM, Shedeed H, Hussein AS, et\u00a0al (2010) A new technique for background modeling and subtraction for motion detection in real-time videos. In: 17th IEEE international conference on image processing, IEEE, pp 3453\u20133456","DOI":"10.1109\/ICIP.2010.5653748"},{"issue":"2","key":"480_CR33","first-page":"265","volume":"1","author":"T Bouwmans","year":"2009","unstructured":"Bouwmans T, El Baf F (2009) Modeling of dynamic backgrounds by type-2 fuzzy Gaussians mixture models. MASAUM J Basic Appl Sci 1(2):265\u2013276","journal-title":"MASAUM J Basic Appl Sci"},{"key":"480_CR34","doi-asserted-by":"crossref","unstructured":"El\u00a0Baf F, Bouwmans T, Vachon B (2009) Fuzzy statistical modeling of dynamic backgrounds for moving object detection in infrared videos. In: IEEE computer society conference on computer vision and pattern recognition workshops, IEEE, pp 60\u201365","DOI":"10.1109\/CVPRW.2009.5204109"},{"issue":"3","key":"480_CR35","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1109\/LSP.2011.2182648","volume":"19","author":"W Kim","year":"2012","unstructured":"Kim W, Kim C (2012) Background subtraction for dynamic texture scenes using fuzzy color histograms. IEEE Signal Process Lett 19(3):127\u2013130","journal-title":"IEEE Signal Process Lett"},{"issue":"6","key":"480_CR36","doi-asserted-by":"publisher","first-page":"1614","DOI":"10.1109\/TNN.2007.896861","volume":"18","author":"D Culibrk","year":"2007","unstructured":"Culibrk D, Marques O, Socek D, Kalva H, Furht B (2007) Neural network approach to background modeling for video object segmentation. IEEE Trans Neural Netw 18(6):1614\u20131627","journal-title":"IEEE Trans Neural Netw"},{"issue":"7","key":"480_CR37","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1109\/TIP.2008.924285","volume":"17","author":"L Maddalena","year":"2008","unstructured":"Maddalena L, Petrosino A (2008) A self-organizing approach to background subtraction for visual surveillance applications. IEEE Trans Image Process 17(7):1168\u20131177","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"480_CR38","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s00521-009-0285-8","volume":"19","author":"L Maddalena","year":"2010","unstructured":"Maddalena L, Petrosino A (2010) A fuzzy spatial coherence-based approach to background\/foreground separation for moving object detection. Neural Comput Appl 19(2):179\u2013186","journal-title":"Neural Comput Appl"},{"key":"480_CR39","doi-asserted-by":"crossref","unstructured":"Li L, Huang W, Gu I, Tian Q (2003) Foreground object detection from videos containing complex background. In: ACM international multimedia conference and exhibition, pp 2\u201310","DOI":"10.1145\/957013.957017"},{"issue":"3","key":"480_CR40","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/S0031-3203(98)00036-3","volume":"32","author":"T Gevers","year":"1999","unstructured":"Gevers T, Smeulders A (1999) Color-based object recognition. Pattern Recogn 32(3):453\u2013464","journal-title":"Pattern Recogn"},{"issue":"4","key":"480_CR41","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1016\/j.jesp.2013.03.013","volume":"49","author":"C Leys","year":"2013","unstructured":"Leys C, Ley C, Klein O, Bernard P, Licata L (2013) Detecting outliers: do not use standard deviation around the mean, use absolute deviation around the median. J Exp Soc Psychol 49(4):764\u2013766","journal-title":"J Exp Soc Psychol"},{"key":"480_CR42","volume-title":"How to detect and handle outliers","author":"B Iglewicz","year":"1993","unstructured":"Iglewicz B, Hoaglin DC (1993) How to detect and handle outliers, vol 16. American Society for Quality Control Press, Milwaukee"},{"issue":"11","key":"480_CR43","doi-asserted-by":"publisher","first-page":"1778","DOI":"10.1109\/TPAMI.2005.213","volume":"27","author":"Y Sheikh","year":"2005","unstructured":"Sheikh Y, Shah M (2005) Bayesian modeling of dynamic scenes for object detection. IEEE Trans Pattern Anal Mach Intell 27(11):1778\u20131792","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"480_CR44","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1109\/TIP.2010.2101613","volume":"20","author":"O Barnich","year":"2011","unstructured":"Barnich O, Van Droogenbroeck M (2011) ViBe: a universal background subtraction algorithm for video sequences. IEEE Trans Image Process 20(6):1709\u20131724","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"480_CR45","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1109\/LSP.2013.2263800","volume":"20","author":"K Hati","year":"2013","unstructured":"Hati K, Sa P, Majhi B (2013) Intensity range based background subtraction for effective object detection. IEEE Signal Process Lett 20(8):759\u2013762","journal-title":"IEEE Signal Process Lett"},{"issue":"1","key":"480_CR46","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/TCSVT.2012.2203199","volume":"23","author":"V Reddy","year":"2013","unstructured":"Reddy V, Sanderson C, Lovell B (2013) Improved foreground detection via block-based classifier cascade with probabilistic decision integration. IEEE Trans Circuits Syst Video Technol 23(1):83\u201393","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"480_CR47","doi-asserted-by":"crossref","unstructured":"Sobral A, Baker C, Bouwmans T, Zahzah EH (2014) Incremental and multi-feature tensor subspace learning applied for background modeling and subtraction. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 8814:94\u2013103","DOI":"10.1007\/978-3-319-11758-4_11"},{"key":"480_CR48","doi-asserted-by":"publisher","first-page":"6133","DOI":"10.1109\/ACCESS.2016.2608847","volume":"4","author":"SK Choudhury","year":"2016","unstructured":"Choudhury SK, Sa PK, Bakshi S, Majhi B (2016) An evaluation of background subtraction for object detection vis-a-vis mitigating challenging scenarios. IEEE Access 4:6133\u20136150","journal-title":"IEEE Access"},{"key":"480_CR49","unstructured":"Seo S (2006) A review and comparison of methods for detecting outliers in univariate data sets. Dissertation of M. Sc., Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, US"},{"key":"480_CR50","doi-asserted-by":"publisher","unstructured":"Goyal K, Singhai J (2017) Review of background subtraction methods using Gaussian mixture model for video surveillance systems. Artif Intell Rev:1\u201319. doi:10.1007\/s10462-017-9542-x","DOI":"10.1007\/s10462-017-9542-x"},{"key":"480_CR51","doi-asserted-by":"crossref","unstructured":"Kumar S, Yadav J S (2017) Background Subtraction Method for Object Detection and Tracking. In: Proceeding of international conference on intelligent communication, control and devices:1057\u20131063","DOI":"10.1007\/978-981-10-1708-7_125"},{"issue":"1","key":"480_CR52","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s11554-012-0310-5","volume":"11","author":"G Szwoch","year":"2016","unstructured":"Szwoch G, Ellwart D, Czy\u017cewski A (2016) Parallel implementation of background subtraction algorithms for real-time video processing on a supercomputer platform. J Real Time Image Process 11(1):111\u2013125","journal-title":"J Real Time Image Process"},{"issue":"1","key":"480_CR53","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/LSP.2015.2498839","volume":"23","author":"DK Panda","year":"2016","unstructured":"Panda DK, Meher S (2016) Detection of moving objects using fuzzy color difference histogram based background subtraction. IEEE Signal Process Lett 23(1):45\u201349","journal-title":"IEEE Signal Process Lett"},{"key":"480_CR54","doi-asserted-by":"crossref","unstructured":"Sajid H, Cheung S.C.S (2015) Background subtraction for static and moving camera. IEEE Int Conf Image Process:4530\u20134534","DOI":"10.1109\/ICIP.2015.7351664"},{"key":"480_CR55","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.imavis.2015.02.001","volume":"38","author":"M Shah","year":"2015","unstructured":"Shah M, Deng JD, Woodford BJ (2015) A Self-adaptive CodeBook (SACB) model for real-time background subtraction. Image Vis Comput 38:52\u201364","journal-title":"Image Vis Comput"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-017-0480-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-017-0480-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-017-0480-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T16:22:58Z","timestamp":1709223778000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-017-0480-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,9]]},"references-count":55,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["480"],"URL":"https:\/\/doi.org\/10.1007\/s12652-017-0480-x","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,9]]},"assertion":[{"value":"4 August 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 April 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}