{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T05:22:41Z","timestamp":1745212961794},"publisher-location":"Singapore","reference-count":37,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811054266"},{"type":"electronic","value":"9789811054273"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-981-10-5427-3_49","type":"book-chapter","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T09:43:15Z","timestamp":1500630195000},"page":"471-481","source":"Crossref","is-referenced-by-count":5,"title":["Challenging Issues of Video Surveillance System Using Internet of Things in Cloud Environment"],"prefix":"10.1007","author":[{"given":"Dileep Kumar","family":"Yadav","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karan","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Swati","family":"Kumari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,22]]},"reference":[{"key":"49_CR1","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.infrared.2013.12.012","volume":"63","author":"A Akula","year":"2013","unstructured":"Akula, A., Khanna, N., Ghosh, R., Kumar, S., Das, A., Sardana, H.K.: Adaptive contour based statistical background subtraction method for moving target detection in infrared video sequences. J. Infrared Phys. Technol. 63, 103\u2013109 (2013). Elsevier","journal-title":"J. Infrared Phys. Technol."},{"issue":"5","key":"49_CR2","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1007\/s00138-013-0552-7","volume":"25","author":"M Shah","year":"2014","unstructured":"Shah, M., Deng, J., Woodford, B.: Video background modeling: recent approaches, issues and our solutions. Mach. Vis. Appl. 25(5), 1105\u20131119 (2014). Springer","journal-title":"Mach. Vis. Appl."},{"issue":"5","key":"49_CR3","first-page":"356","volume":"2","author":"G Popovic","year":"2013","unstructured":"Popovic, G., Arsic, N., Jaksic, B., Gara, B., Petrovic, M.: Overview, characteristics and advantages of IP camera video surveillance systems compared to systems with other kinds of camera. Int. J. Eng. Sci. Innovative Technol. 2(5), 356\u2013362 (2013)","journal-title":"Int. J. Eng. Sci. Innovative Technol."},{"key":"49_CR4","doi-asserted-by":"crossref","unstructured":"Sharma, S., Chang, V., Tim, U.S., Wong, J., Gadia, S.: Cloud based emerging services systems. Int. J. Inf. Manage. 1\u201312 (2016). Elsevier","DOI":"10.1016\/j.ijinfomgt.2016.03.006"},{"key":"49_CR5","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.future.2016.01.003","volume":"59","author":"S Sharma","year":"2016","unstructured":"Sharma, S.: Expanded cloud plumes hiding big data ecosystem. Future Gener. Comput. Syst. 59, 63\u201392 (2016)","journal-title":"Future Gener. Comput. Syst."},{"key":"49_CR6","first-page":"13375","volume":"5","author":"B Song","year":"2015","unstructured":"Song, B., Hassan, M.M., Tian, Y., Hossain, M.S., Alamri, A.: Remote display solution for video surveillance in multimedia cloud. Multimedia Tools Appl. 5, 13375\u201313396 (2015). Springer","journal-title":"Multimedia Tools Appl."},{"issue":"7","key":"49_CR7","doi-asserted-by":"crossref","first-page":"1645","DOI":"10.1016\/j.future.2013.01.010","volume":"29","author":"J Gubbi","year":"2013","unstructured":"Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645\u20131660 (2013). Elsevier","journal-title":"Future Gener. Comput. Syst."},{"issue":"6","key":"49_CR8","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1016\/j.future.2008.12.001","volume":"25","author":"R Buyya","year":"2009","unstructured":"Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25(6), 599\u2013616 (2009). Elsevier","journal-title":"Future Gener. Comput. Syst."},{"key":"49_CR9","unstructured":"Sharma, S., Tim, U.S., Gadia, S., Wong, J.: Growing Cloud Density and as-a-Service Modality and OTH-Cloud Classification in IOT Era (2015, unpublished)"},{"key":"49_CR10","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.infrared.2014.03.007","volume":"65","author":"X Dong","year":"2014","unstructured":"Dong, X., Huang, X., Zheng, Y., Bai, S., Xu, W.: A novel infrared small moving target detection method based on tracking interest points under complicated background. J. Infrared Phys. Technol. 65, 36\u201342 (2014). Elsevier","journal-title":"J. Infrared Phys. Technol."},{"key":"49_CR11","doi-asserted-by":"crossref","unstructured":"Bao, X., Zinger, S., Wijnhoven, R., de Peter, H.N.: Ship detection in port surveillance based on context and motion saliency analysis. In: Proceeding SPIE, Video Surveillance and Transportation Imaging Applications, vol. 8663, pp. 1\u20138 (2013)","DOI":"10.1117\/12.2000452"},{"key":"49_CR12","first-page":"1","volume":"43","author":"M Cristani","year":"2010","unstructured":"Cristani, M., Farenzena, M., Bloisi, D., Murino, V.: Background subtraction for automated multisensor surveillance: a comprehensive review. Eurasip J. Adv. Sign. Process 43 1\u201324 (2010). Springer","journal-title":"Eurasip J. Adv. Sign. Process"},{"issue":"7","key":"49_CR13","doi-asserted-by":"crossref","first-page":"3565","DOI":"10.1109\/TGRS.2014.2379352","volume":"53","author":"G Gao","year":"2015","unstructured":"Gao, G., Wang, X., Lai, T.: Detection of moving ships based on a combination of magnitude and phase in along-track interferometric SAR-Part I: SIMP metric and its performance. IEEE Trans. Geo Sci. Remote Sens. 53(7), 3565\u20133581 (2015)","journal-title":"IEEE Trans. Geo Sci. Remote Sens."},{"key":"49_CR14","doi-asserted-by":"crossref","unstructured":"Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 246\u2013252. IEEE Computer Society, Fort Collins (1999)","DOI":"10.1109\/CVPR.1999.784637"},{"key":"49_CR15","doi-asserted-by":"crossref","unstructured":"Haque, M., Murshed, M., Paul, M.: On stable dynamic background generation technique using gaussian mixture models for robust object detection. In: 5th International Conference on Advanced Video and Signal Based Surveillance, pp. 41\u201348. IEEE, New Maxico (2008)","DOI":"10.1109\/AVSS.2008.12"},{"issue":"3","key":"49_CR16","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1109\/TMM.2009.2012924","volume":"11","author":"CR Jung","year":"2009","unstructured":"Jung, C.R.: Efficient background subtraction and shadow removal for monochromatic video sequences. IEEE Trans. Multimedia 11(3), 571\u2013577 (2009)","journal-title":"IEEE Trans. Multimedia"},{"key":"49_CR17","doi-asserted-by":"crossref","unstructured":"Toyama, K., Krumm, J., Brumitt, B., Meyers, B.: Wallflower: principles and practice of background maintenance. In: 7th International Conference on Computer Vision, pp. 255\u2013261. IEEE Computer Society Press, Greece (1999)","DOI":"10.1109\/ICCV.1999.791228"},{"key":"49_CR18","doi-asserted-by":"crossref","unstructured":"Goyette, N., Jodoin, P.M., Porikli, F., Ishwar, P.: Change detection\u2014a new change detection benchmark database. In: Proceedings of IEEE Workshop on Change Detection at CVPR USA, pp. 1\u20138 (2012)","DOI":"10.1109\/CVPRW.2012.6238919"},{"key":"49_CR19","unstructured":"I2R Dataset. http:\/\/perception.i2r.a-star.edu.sg\/bk_model\/bk_index.html"},{"key":"49_CR20","unstructured":"CSIR-CSIO Moving Object Thermal Infrared Imagery Dataset (MOTI-ID). CSIR Dataset 09. http:\/\/www.vcipl.okstate.edu\/otcbvs\/bench\/"},{"key":"49_CR21","unstructured":"OTCBVS Benchmark Dataset: OSU-Pedestrian. http:\/\/www.vcipl.okstate.edu\/otcbvs\/bench\/"},{"issue":"3","key":"49_CR22","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.patcog.2014.09.023","volume":"48","author":"I Huerta","year":"2015","unstructured":"Huerta, I., Pedersoli, M., Gonzalez, J., Sanfeliu, A.: Combining where and what in change detection for unsupervised foreground learning in Surveillance. Pattern Recogn. 48(3), 709\u2013719 (2015). Elsevier","journal-title":"Pattern Recogn."},{"key":"49_CR23","unstructured":"PETS Dataset. http:\/\/ftp.pets.rdg.ac.uk\/pub\/"},{"key":"49_CR24","unstructured":"BMC-2012 Dataset. http:\/\/clickdamage.com\/sourcecode\/cv_datasets.php"},{"key":"49_CR25","unstructured":"SABS Dataset. http:\/\/www.vis.uni-stuttgart.de\/en\/research\/information-visualisation-and-visual-analytics\/visual-analytics-of-video-data\/sabs.html"},{"key":"49_CR26","unstructured":"SBMI Dataset. http:\/\/sbmi2015.na.icar.cnr.it\/"},{"key":"49_CR27","unstructured":"SBMnet Dataset. http:\/\/scenebackgroundmodeling.net\/"},{"key":"49_CR28","unstructured":"UCSD-Dataset. http:\/\/www.svcl.ucsd.edu\/projects\/background_subtraction\/ucsdbgsub_dataset.htm"},{"key":"49_CR29","unstructured":"Computer Vision Datasets. http:\/\/clickdamage.com\/sourcecode\/cv_datasets.php"},{"key":"49_CR30","doi-asserted-by":"crossref","DOI":"10.1201\/b17223","volume-title":"Background Modeling and Foreground Detection for Video Surveillance","author":"T Bouwmans","year":"2014","unstructured":"Bouwmans, T., Porikli, F., H\u00f6rferlin, B., Vacavant, A.: Background Modeling and Foreground Detection for Video Surveillance. Publisher CRC Press, Taylor and Francis Group, Cogent (2014)"},{"issue":"7","key":"49_CR31","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1016\/j.patrec.2005.11.005","volume":"27","author":"Z Zivkovic","year":"2006","unstructured":"Zivkovic, Z., Heijden, V.D.F.: Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recogn. Lett. 27(7), 777\u2013780 (2006). Elsevier","journal-title":"Pattern Recogn. Lett."},{"issue":"8","key":"49_CR32","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1109\/LSP.2013.2263800","volume":"20","author":"KK Hati","year":"2013","unstructured":"Hati, K.K., Sa, P.K., Majhi, B.: Intensity range based background subtraction for effective object detection. IEEE Sig. Process. Lett. 20(8), 759\u2013762 (2013)","journal-title":"IEEE Sig. Process. Lett."},{"key":"49_CR33","first-page":"2","volume":"30","author":"S Lee","year":"2014","unstructured":"Lee, S., Lee, C.: Low complexity background subtraction based on spatial similarity. Eurasip J. Image Video Process. 30, 2\u201316 (2014). Springer","journal-title":"Eurasip J. Image Video Process."},{"issue":"3","key":"49_CR34","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1006\/cviu.1998.0744","volume":"73","author":"JK Aggarwal","year":"1999","unstructured":"Aggarwal, J.K., Cai, Q.: Human motion analysis: a review. Comput. Vis. Image Underst. 73(3), 428\u2013440 (1999). Elsevier","journal-title":"Comput. Vis. Image Underst."},{"issue":"4","key":"49_CR35","doi-asserted-by":"crossref","first-page":"918","DOI":"10.1109\/TPAMI.2003.1206520","volume":"25","author":"A Prati","year":"2003","unstructured":"Prati, A., Mikic, I., Trivedi, M., Cucchiara, R.: Detecting moving shadows: algorithms and evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 25(4), 918\u2013923 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"49_CR36","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1016\/j.patrec.2011.12.013","volume":"33","author":"N Al-Najdawi","year":"2012","unstructured":"Al-Najdawi, N., Bez, H., Singhai, J., Edirisinghe E.: A survey of cast shadow detection algorithms. Pattern Recogn. Lett. 33(6), 752\u2013764 (2012). Elsevier","journal-title":"Pattern Recogn. Lett."},{"issue":"4","key":"49_CR37","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.1016\/j.patcog.2011.10.001","volume":"45","author":"A Sanin","year":"2011","unstructured":"Sanin, A., Sanderson, C., Lovell, B.: Shadow detection: a survey and comparative evaluation of recent methods. Pattern Recogn. 45(4), 1684\u20131689 (2011). Elsevier","journal-title":"Pattern Recogn."}],"container-title":["Communications in Computer and Information Science","Advances in Computing and Data Sciences"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-5427-3_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T08:15:10Z","timestamp":1659255310000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-5427-3_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811054266","9789811054273"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-5427-3_49","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}