{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T14:10:07Z","timestamp":1751033407511,"version":"3.41.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"15","license":[{"start":{"date-parts":[[2017,11,24]],"date-time":"2017-11-24T00:00:00Z","timestamp":1511481600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s11042-017-5424-0","type":"journal-article","created":{"date-parts":[[2017,11,24]],"date-time":"2017-11-24T12:32:20Z","timestamp":1511526740000},"page":"19745-19768","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Perspective model-based visual tracking scheme for robust tracking of objects in complex environs"],"prefix":"10.1007","volume":"77","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0971-3720","authenticated-orcid":false,"given":"Emmanuel","family":"Joy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Dinesh","family":"Peter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,11,24]]},"reference":[{"issue":"11","key":"5424_CR1","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1109\/TPAMI.2004.108","volume":"26","author":"S Agarwal","year":"2004","unstructured":"Agarwal S, Awan A, Roth D (2004) Learning to detect objects in images via a sparse, part-based representation. IEEE Trans Pattern Anal Mach Intell 26(11):1475\u20131490","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5424_CR2","doi-asserted-by":"crossref","unstructured":"Amittal A, Paragios N (2004) Motion-based background subtraction using adaptive kernel density estimation. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 I.E. Computer Society Conference on, vol. 2. IEEE","DOI":"10.1109\/CVPR.2004.1315179"},{"key":"5424_CR3","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s11760-013-0431-8","volume":"9","author":"M Asgarizadeh","year":"2013","unstructured":"Asgarizadeh M, Pourghassem H (2013) A robust object tracking synthetic structure using regional mutual information and edge correlation-based tracking algorithm in aerial surveillance application. SIViP 9:175\u2013189","journal-title":"SIViP"},{"issue":"8","key":"5424_CR4","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1109\/TPAMI.2010.226","volume":"33","author":"B Babenko","year":"2011","unstructured":"Babenko B, Yang M-H, Belongie S (2011) Robust object tracking with online multiple instance learning. IEEE Trans Pattern Anal Mach Intell 33(8):1619\u20131632","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"9","key":"5424_CR5","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1109\/TIP.2002.802531","volume":"11","author":"K Barnard","year":"2002","unstructured":"Barnard K, Cardei VC, Funt BV (2002) A comparison of computational color constancy algorithms - part i: methodology and experiments with synthesized data. IEEE Trans Image Process 11(9):972\u2013983","journal-title":"IEEE Trans Image Process"},{"key":"5424_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0016-0032(80)90058-7","volume":"310","author":"G Buchsbaum","year":"1980","unstructured":"Buchsbaum G (1980) A spatial processor model for object color perception. J Franklin Inst 310:1\u201326","journal-title":"J Franklin Inst"},{"issue":"4","key":"5424_CR7","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/S0968-090X(98)00019-9","volume":"6","author":"B Coifman","year":"1998","unstructured":"Coifman B, Beymer D, McLauchlan P, Malik J (1998) Areal-time computer vision system for vehicle tracking and traffic surveillance. Transp Res C 6(4):271\u2013288","journal-title":"Transp Res C"},{"issue":"10","key":"5424_CR8","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1109\/TPAMI.2005.205","volume":"27","author":"RT Collins","year":"2005","unstructured":"Collins RT, Liu Y, Leordeanu M (2005) Online selection of discriminative tracking features. IEEE Trans Pattern Anal Mach Intell 27(10):1631\u20131643","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"5424_CR9","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1109\/TVCG.2006.78","volume":"12","author":"AI Comport","year":"2006","unstructured":"Comport AI, Marchand E, Pressigout M, Chaumette F (2006) Real-time markerless tracking for augmented reality: the virtual visual servoing framework. IEEE Trans Vis Comput Graph 12(4):615\u2013628","journal-title":"IEEE Trans Vis Comput Graph"},{"key":"5424_CR10","doi-asserted-by":"crossref","unstructured":"Dyckmanns H, Matthaei R, Maurer M, Lichte B, Effertz J, Stuker D (2011) Object tracking in urban intersections based on active use of a priori knowledge: active interacting multi model filter. In: Intelligent Vehicles Symposium (IV), 2011 IEEE. IEEE, pp 625\u2013630","DOI":"10.1109\/IVS.2011.5940443"},{"key":"5424_CR11","doi-asserted-by":"crossref","unstructured":"Elgammal A, Harwood D, Davis L (2000) Non-parametric model for background subtraction. Computer Vision\u2014ECCV 2000. Springer, Berlin, pp 751\u2013767","DOI":"10.1007\/3-540-45053-X_48"},{"issue":"2","key":"5424_CR12","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1007\/s11263-010-0364-4","volume":"95","author":"L Ellis","year":"2011","unstructured":"Ellis L, Dowson N, Matas J, Bowden R (2011) Linear regression and adaptive appearance models for fast simultaneous modelling and tracking. Int J Comput Vis 95(2):154\u2013179","journal-title":"Int J Comput Vis"},{"key":"5424_CR13","doi-asserted-by":"crossref","unstructured":"Grabner H, Grabner M, Bischof H (2006) Real-time tracking via on-line boosting. BMVC, vol 1, no. 5","DOI":"10.5244\/C.20.6"},{"key":"5424_CR14","doi-asserted-by":"crossref","unstructured":"Grabner H, Matas J, Gool L, Cattin P (2010) Tracking the invisible: learning where the object might be. In: CVPR","DOI":"10.1109\/CVPR.2010.5539819"},{"key":"5424_CR15","doi-asserted-by":"crossref","unstructured":"Henriques JF, Caseiro R, Martins P, Batista J (2012) Exploiting the circulant structure of tracking-by-detection with kernels. Computer Vision\u2013ECCV 2012. Springer, pp 702\u2013715","DOI":"10.1007\/978-3-642-33765-9_50"},{"issue":"5","key":"5424_CR16","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1016\/j.patrec.2011.11.019","volume":"33","author":"MC Ho","year":"2012","unstructured":"Ho MC, Chiang CC, Su YY (2012) Object tracking by exploiting adaptive region-wise linear subspace representations and adaptive templates in an iterative particle filter. Pattern Recogn Lett 33(5):500\u2013512","journal-title":"Pattern Recogn Lett"},{"key":"5424_CR17","doi-asserted-by":"crossref","unstructured":"Horbert E, Rematas K, Leibe B (2011) Level-set person segmentation and tracking with multi-region appearance models and top-down shape information. International Conference on Computer Vision (ICCV). IEEE","DOI":"10.1109\/ICCV.2011.6126455"},{"issue":"5","key":"5424_CR18","doi-asserted-by":"crossref","first-page":"1778","DOI":"10.1109\/TIP.2012.2236340","volume":"22","author":"W Hu","year":"2013","unstructured":"Hu W, Zhou X, Li W, Luo W, Zhang X, Maybank S (2013) Active contour-based visual tracking by integrating colors, shapes, and motions. IEEE Trans Image Process 22(5):1778\u20131792","journal-title":"IEEE Trans Image Process"},{"key":"5424_CR19","unstructured":"Joy E, Peter JD (2017) Visual tracking with conditionally adaptive multiple template update scheme for intricate videos. Multimedia Systems 1\u201320"},{"issue":"3","key":"5424_CR20","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.rti.2004.12.004","volume":"11","author":"K Kim","year":"2005","unstructured":"Kim K, Chalidabhongse TH, Harwood D, Davis L (2005) Real-time foreground\u2013background segmentation using codebook model. Real-Time Imaging 11(3):172\u2013185","journal-title":"Real-Time Imaging"},{"key":"5424_CR21","doi-asserted-by":"crossref","unstructured":"Kwon J, Lee K (2010) Visual tracking decomposition. In: CVPR","DOI":"10.1109\/CVPR.2010.5539821"},{"key":"5424_CR22","unstructured":"Lee K-C, Kriegman D (2005) Online learning of probabilistic appearance manifolds for video-based recognition and tracking. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 1. IEEE"},{"key":"5424_CR23","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.neucom.2013.03.013","volume":"119","author":"X Liu","year":"2013","unstructured":"Liu X, Qi C (2013) Future-data driven modeling of complex backgrounds using mixture of Gaussians. Neurocomputing 119:439\u2013453","journal-title":"Neurocomputing"},{"issue":"8","key":"5424_CR24","doi-asserted-by":"crossref","first-page":"2502","DOI":"10.1109\/TIP.2015.2419084","volume":"24","author":"X Liu","year":"2015","unstructured":"Liu X, Zhao G, Yao J, Qi C (2015) Background subtraction based on low-rank and structured sparse decomposition. IEEE Trans Image Process 24(8):2502\u20132514","journal-title":"IEEE Trans Image Process"},{"key":"5424_CR25","volume-title":"Traffic surveillance and detection technology development (new traffic sensor technology)","author":"J Malik","year":"1996","unstructured":"Malik J, Russell S (1996) Traffic surveillance and detection technology development (new traffic sensor technology). Univ. of California, Berkeley"},{"issue":"1","key":"5424_CR26","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1006\/cviu.2000.0870","volume":"80","author":"S McKenna","year":"2000","unstructured":"McKenna S, Jabri S, Duric Z, Rosenfeld A, Wechsler H (2000) Tracking groups of people. Comput Vis Image Underst 80(1):42\u201356","journal-title":"Comput Vis Image Underst"},{"issue":"11","key":"5424_CR27","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1109\/TPAMI.2011.66","volume":"33","author":"X Mei","year":"2011","unstructured":"Mei X, Ling H (2011) Robust visual tracking and vehicle classification via sparse representation. IEEE Trans Pattern Anal Mach Intell 33(11):2259\u20132272","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"5424_CR28","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1049\/iet-cvi.2011.0023","volume":"6","author":"S Nigam","year":"2012","unstructured":"Nigam S, Khare A (2012) Curvelet transform-based technique for tracking of moving objects. IET Comput Vis 6(3):231\u2013251","journal-title":"IET Comput Vis"},{"issue":"1","key":"5424_CR29","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1109\/TPAMI.2010.56","volume":"33","author":"N Papadakis","year":"2011","unstructured":"Papadakis N, Bugeau A (2011) Tracking with occlusions via graph cuts. IEEE Trans Pattern Anal Mach Intell 33(1):144\u2013157","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5424_CR30","unstructured":"Pau CA, Barber A (1996) Traffic sensor using a color vision method. In: Proc. SPIE\u2014Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, vol 2902, pp 156\u2013165"},{"key":"5424_CR31","doi-asserted-by":"crossref","unstructured":"P\u00e9rez P, Hue C, Vermaak J, Gangnet M (2002) Color-based probabilistic tracking. Proceedings of the 7th European Conference on Computer Vision, pp 661\u2013675","DOI":"10.1007\/3-540-47969-4_44"},{"key":"5424_CR32","doi-asserted-by":"crossref","unstructured":"Polana R, Nelson R (1994) Low level recognition of human motion. In: Proc. IEEE Workshop Motion of Non-Rigid and Articulated Objects, Austin, TX, pp 77\u201382","DOI":"10.1109\/MNRAO.1994.346251"},{"issue":"1\u20133","key":"5424_CR33","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"DA Ross","year":"2008","unstructured":"Ross DA, Lim J, Lin R-S, Yang M-H (2008) Incremental learning for robust visual tracking. Int J Comput Vis 77(1\u20133):125\u2013141","journal-title":"Int J Comput Vis"},{"key":"5424_CR34","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s11042-009-0365-x","volume":"50","author":"D Roth","year":"2010","unstructured":"Roth D, Koller-Meier E, Van Gool L (2010) Multi-object tracking evaluated on sparse events. Multimedia Tools Appl 50:29\u201347 Springer Science, 2009","journal-title":"Multimedia Tools Appl"},{"key":"5424_CR35","unstructured":"Schiele B (2000) Model-free tracking of cars and people based on color regions. In: Proc. IEEE Int. Workshop Performance Evaluation of Tracking and Surveillance, Grenoble, France, pp 61\u201371"},{"issue":"7","key":"5424_CR36","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230","volume":"36","author":"A Smeulders","year":"2014","unstructured":"Smeulders A, Chu D, Cucchiara R, Calderara S, Dehghan A, Shah M (2014) Visual tracking: an experimental survey. IEEE Trans Pattern Anal Mach Intell 36(7):1442\u20131468","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5424_CR37","doi-asserted-by":"crossref","unstructured":"Stalder S, Grabner H, Gool L (2010) Cascaded confidence filtering for improved tracking-by-detection. In: ECCV","DOI":"10.1007\/978-3-642-15549-9_27"},{"issue":"7","key":"5424_CR38","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1109\/TCSVT.2011.2133870","volume":"21","author":"BN Subudhi","year":"2011","unstructured":"Subudhi BN, Nanda PK, Ghosh A (2011) A change information based fast algorithm for video object detection and tracking. IEEE Tran Circuits Syst Video Technol 21(7):993\u20131004","journal-title":"IEEE Tran Circuits Syst Video Technol"},{"key":"5424_CR39","doi-asserted-by":"crossref","unstructured":"Sun X, Yao, H, Zhang S (2011) A novel supervised level set method for non-rigid object tracking. Computer Vision and Pattern Recognition (CVPR), 2011 I.E. Conference on. IEEE","DOI":"10.1109\/CVPR.2011.5995656"},{"key":"5424_CR40","doi-asserted-by":"crossref","unstructured":"Wang D, Lu H (2014) Visual tracking via probability continuous outlier model. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognition, pp 3478\u20133485","DOI":"10.1109\/CVPR.2014.445"},{"issue":"6","key":"5424_CR41","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1016\/j.jvcir.2006.03.004","volume":"17","author":"S-K Weng","year":"2006","unstructured":"Weng S-K, Kuo C-M, Shu-Kang T (2006) Video object tracking using adaptive Kalman filter. J Vis Commun Image Represent 17(6):1190\u20131208","journal-title":"J Vis Commun Image Represent"},{"issue":"9","key":"5424_CR42","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1109\/TPAMI.2014.2388226","volume":"37","author":"Y Wu","year":"2015","unstructured":"Wu Y, Lim J, Yang M-H (2015) Object tracking benchmark. IEEE Trans Pattern Anal Mach Intell 37(9):1834\u20131848","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"5424_CR43","doi-asserted-by":"crossref","unstructured":"Yadav K, Bhattacharya J (2016) Real-time hand gesture detection and recognition for human-computer interaction. Intelligent systems technologies and applications. Springer International Publishing, pp 559\u2013567","DOI":"10.1007\/978-3-319-23036-8_49"},{"issue":"18","key":"5424_CR44","doi-asserted-by":"crossref","first-page":"3823","DOI":"10.1016\/j.neucom.2011.07.024","volume":"74","author":"H Yang","year":"2011","unstructured":"Yang H, Shao L, Zheng F, Wang L, Song Z (2011) Recent advances and trends in visual tracking: a review. Neurocomputing 74(18):3823\u20133831","journal-title":"Neurocomputing"},{"issue":"4","key":"5424_CR45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1177352.1177355","volume":"38","author":"A Yilmaz","year":"2006","unstructured":"Yilmaz A, Javed O, Shah M (2006) Object tracking: a survey. ACM Comput Surv 38(4):1\u201345","journal-title":"ACM Comput Surv"},{"key":"5424_CR46","doi-asserted-by":"crossref","unstructured":"Yoon JH, Kim DY, Yoon KJ (2012). Visual tracking via adaptive tracker selection with multiple features. In: Proceedings of European Conference on Computer Vision (ECCV)","DOI":"10.1007\/978-3-642-33765-9_3"},{"key":"5424_CR47","doi-asserted-by":"crossref","unstructured":"Zeisl B, Leistner C, Saffari A, Bischof H (2010) On-line semi-supervised multiple instance boosting. In: CVPR","DOI":"10.1109\/CVPR.2010.5539860"},{"issue":"5","key":"5424_CR48","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1109\/TIP.2008.919949","volume":"17","author":"B Zhang","year":"2008","unstructured":"Zhang B, Allebach JP (2008) Adaptive bilateral filter for sharpness enhancement and noise removal. IEEE Trans Image Process 17(5):664\u2013678","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"5424_CR49","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1109\/TPAMI.2013.221","volume":"36","author":"L Zhang","year":"2014","unstructured":"Zhang L, van der Maaten L (2014) Preserving structure in model-free tracking. IEEE Trans Pattern Anal Mach Intell 36(4):756\u2013769","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"5424_CR50","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1007\/s11263-012-0582-z","volume":"101","author":"T Zhang","year":"2013","unstructured":"Zhang T, Ghanem B, Liu S, Ahuja N (2013) Robust visual tracking via structured multi-task sparse learning. Int J Comput Vis 101(2):367\u2013383","journal-title":"Int J Comput Vis"},{"issue":"2","key":"5424_CR51","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s11263-014-0738-0","volume":"111","author":"T Zhang","year":"2015","unstructured":"Zhang T, Liu S, Ahuja N, Yang MH, Ghanem B (2015) Robust visual tracking via consistent low-rank sparse learning. Int J Comput Vis 111(2):171\u2013190","journal-title":"Int J Comput Vis"},{"issue":"1","key":"5424_CR52","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1109\/TCYB.2015.2393307","volume":"46","author":"T Zhang","year":"2016","unstructured":"Zhang T et al (2016) Robust visual tracking via exclusive context modeling. IEEE Transactions on Cybernetics 46(1):51\u201363","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"5","key":"5424_CR53","doi-asserted-by":"crossref","first-page":"2356","DOI":"10.1109\/TIP.2014.2313227","volume":"23","author":"W Zhong","year":"2014","unstructured":"Zhong W, Lu H, Yang M-H (2014) Robust object tracking via sparse collaborative appearance model. IEEE Trans Image Process 23(5):2356\u20132368","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"5424_CR54","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1109\/TIP.2004.836152","volume":"13","author":"SK Zhou","year":"2004","unstructured":"Zhou SK, Chellappa R, Moghaddam B (2004) Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Trans Image Process 13(11):1491\u20131506","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"5424_CR55","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1109\/TPAMI.2012.132","volume":"35","author":"X Zhou","year":"2013","unstructured":"Zhou X, Yang C, Yu W (2013) Moving object detection by detecting contiguous outliers in the low-rank representation. IEEE Trans Pattern Anal Mach Intell 35(3):597\u2013610","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"5424_CR56","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1109\/TPAMI.2008.119","volume":"31","author":"K Zimmermann","year":"2009","unstructured":"Zimmermann K, Matas J, Svoboda T (2009) Tracking by an optimal sequence of linear predictors. IEEE Trans Pattern Anal Mach Intell 31(4):677\u2013692","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-017-5424-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-5424-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-5424-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T13:35:28Z","timestamp":1751031328000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-017-5424-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,24]]},"references-count":56,"journal-issue":{"issue":"15","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["5424"],"URL":"https:\/\/doi.org\/10.1007\/s11042-017-5424-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2017,11,24]]}}}