{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:00:32Z","timestamp":1760709632903,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2018,6,4]],"date-time":"2018-06-04T00:00:00Z","timestamp":1528070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["2015R1D1A1A01057518"],"award-info":[{"award-number":["2015R1D1A1A01057518"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1007\/s11042-018-6180-5","type":"journal-article","created":{"date-parts":[[2018,6,3]],"date-time":"2018-06-03T22:00:55Z","timestamp":1528063255000},"page":"30067-30088","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Single object tracking using particle filter framework and saliency-based weighted color histogram"],"prefix":"10.1007","volume":"77","author":[{"given":"Mai Thanh Nhat","family":"Truong","sequence":"first","affiliation":[]},{"given":"Myeongsuk","family":"Pak","sequence":"additional","affiliation":[]},{"given":"Sanghoon","family":"Kim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,4]]},"reference":[{"issue":"11","key":"6180_CR1","doi-asserted-by":"publisher","first-page":"3978","DOI":"10.1109\/TIP.2015.2458175 https:\/\/doi.org\/10.1109\/TIP.2015.2458175","volume":"24","author":"Q Barth\u00e9lemy","year":"2015","unstructured":"Barth\u00e9lemy Q, Larue A, Mars JI (2015) Color sparse representations for image processing: review, models, and prospects. IEEE Trans Image Process 24(11):3978\u20133989. \n                    https:\/\/doi.org\/10.1109\/TIP.2015.2458175","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"6180_CR2","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1109\/TPAMI.2012.89","volume":"35","author":"A Borji","year":"2013","unstructured":"Borji A, Itti L (2013) State-of-the-art in visual attention modeling. IEEE Trans Pattern Anal Mach Intell 35(1):185\u2013207. \n                    https:\/\/doi.org\/10.1109\/TPAMI.2012.89","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"6180_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13673-015-0040-3","volume":"5","author":"E Bostanci","year":"2015","unstructured":"Bostanci E, Kanwal N, Clark AF (2015) Augmented reality applications for cultural heritage using Kinect. Human-Centric Comput Informa Sci 5(1):1\u201318. \n                    https:\/\/doi.org\/10.1186\/s13673-015-0040-3","journal-title":"Human-Centric Comput Informa Sci"},{"key":"6180_CR4","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.cviu.2013.11.003","volume":"119","author":"TB Dinh","year":"2014","unstructured":"Dinh TB, Yu Q, Medioni G (2014) Co-trained generative and discriminative trackers with cascade particle filter. Comput Vis Image Underst 119:41\u201356. \n                    https:\/\/doi.org\/10.1016\/j.cviu.2013.11.003","journal-title":"Comput Vis Image Underst"},{"key":"6180_CR5","doi-asserted-by":"crossref","unstructured":"Haug AJ (2012) Bayesian estimation and tracking: a practical guide. Wiley","DOI":"10.1002\/9781118287798"},{"key":"6180_CR6","doi-asserted-by":"publisher","unstructured":"Hou X, Zhang L (2007) Saliency detection: a spectral residual approach. In: 2007 IEEE Conference on computer vision and pattern recognition, pp 1\u20138. \n                    https:\/\/doi.org\/10.1109\/CVPR.2007.383267","DOI":"10.1109\/CVPR.2007.383267"},{"issue":"1","key":"6180_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1008078328650","volume":"29","author":"M Isard","year":"1998","unstructured":"Isard M, Blake A (1998) Condensation-conditional density propagation for visual tracking. Int J Comput Vis 29(1):5\u201328. \n                    https:\/\/doi.org\/10.1023\/A:1008078328650","journal-title":"Int J Comput Vis"},{"key":"6180_CR8","doi-asserted-by":"publisher","unstructured":"Jia X, Lu H, Yang MH (2012) Visual tracking via adaptive structural local sparse appearance model. In: 2012 IEEE Conference on computer vision and pattern recognition, pp 1822\u20131829. \n                    https:\/\/doi.org\/10.1109\/CVPR.2012.6247880","DOI":"10.1109\/CVPR.2012.6247880"},{"issue":"3","key":"6180_CR9","first-page":"1","volume":"6","author":"L Juhyun","year":"2015","unstructured":"Juhyun L, Hanbyul C, Kicheon H (2015) A fainting condition detection system using thermal imaging cameras based object tracking algorithm. J Converg 6(3):1\u201315","journal-title":"J Converg"},{"key":"6180_CR10","doi-asserted-by":"publisher","unstructured":"Klein G, Murray DW (2006) Full-3d edge tracking with a particle filter. In: Proceedings of the British machine vision conference, pp 114.1\u2013114.10. \n                    https:\/\/doi.org\/10.5244\/C.20.114","DOI":"10.5244\/C.20.114"},{"issue":"11","key":"6180_CR11","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1109\/TPAMI.2016.2516982","volume":"38","author":"M Kristan","year":"2016","unstructured":"Kristan M, Matas J, Leonardis A, Voj\u00ed\u0159 T, Pflugfelder R, Fern\u00e1ndez G, Nebehay G, Porikli F, C\u0306ehovin L (2016) A novel performance evaluation methodology for single-target trackers. IEEE Trans Pattern Anal Mach Intell 38(11):2137\u20132155. \n                    https:\/\/doi.org\/10.1109\/TPAMI.2016.2516982","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"6180_CR12","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1109\/TAES.2003.1261132","volume":"39","author":"XR Li","year":"2003","unstructured":"Li XR, Jilkov VP (2003) Survey of maneuvering target tracking. Part I. dynamic models. IEEE Trans Aerosp Electron Syst 39(4):1333\u20131364. \n                    https:\/\/doi.org\/10.1109\/TAES.2003.1261132","journal-title":"IEEE Trans Aerosp Electron Syst"},{"issue":"1","key":"6180_CR13","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/S0262-8856(02)00133-6","volume":"21","author":"P Li","year":"2003","unstructured":"Li P, Zhang T, Pece AE (2003) Visual contour tracking based on particle filters. Image Vis Comput 21(1):111\u2013123. \n                    https:\/\/doi.org\/10.1016\/S0262-8856(02)00133-6","journal-title":"Image Vis Comput"},{"issue":"3","key":"6180_CR14","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/MSP.2014.2330626","volume":"32","author":"T Li","year":"2015","unstructured":"Li T, Bolic M, Djuric PM (2015) Resampling methods for particle filtering: classification, implementation, and strategies. IEEE Signal Process Mag 32(3):70\u201386. \n                    https:\/\/doi.org\/10.1109\/MSP.2014.2330626","journal-title":"IEEE Signal Process Mag"},{"issue":"4","key":"6180_CR15","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1007\/s10514-016-9564-2","volume":"41","author":"S Lin","year":"2017","unstructured":"Lin S, Garratt MA, Lambert AJ (2017) Monocular vision-based real-time target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment. Auton Robot 41(4):881\u2013901. \n                    https:\/\/doi.org\/10.1007\/s10514-016-9564-2","journal-title":"Auton Robot"},{"key":"6180_CR16","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1007\/978-3-642-15561-1_45","volume-title":"Computer Vision \u2013 ECCV 2010","author":"Baiyang Liu","year":"2010","unstructured":"Liu B, Yang L, Huang J, Meer P, Gong L, Kulikowski C (2010) Robust and fast collaborative tracking with two stage sparse optimization. In: Proceedings of the 11th European conference on computer vision: part IV, pp 624\u2013637"},{"key":"6180_CR17","doi-asserted-by":"publisher","unstructured":"Mei X, Ling H (2009) Robust visual tracking using \u2113\n                           1 minimization. In: 2009 IEEE 12th International conference on computer vision, pp 1436\u20131443. \n                    https:\/\/doi.org\/10.1109\/ICCV.2009.5459292","DOI":"10.1109\/ICCV.2009.5459292"},{"key":"6180_CR18","doi-asserted-by":"publisher","unstructured":"Meshgi K, Oba S, Ishii S (2016) Robust discriminative tracking via query-by-bagging. In: 2016 13th IEEE International conference on advanced video and signal based surveillance (AVSS), pp 8\u201314. \n                    https:\/\/doi.org\/10.1109\/AVSS.2016.7738027","DOI":"10.1109\/AVSS.2016.7738027"},{"key":"6180_CR19","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/3-540-45783-6_43","volume-title":"Lecture Notes in Computer Science","author":"Katja Nummiaro","year":"2002","unstructured":"Nummiaro K, Koller-Meier E, Gool LJV (2002) Object tracking with an adaptive color-based particle filter. In: Pattern Recognition, 24th DAGM symposium, Zurich, Switzerland, September 16-18, 2002, proceedings, pp 353\u2013360. \n                    https:\/\/doi.org\/10.1007\/3-540-45783-6_43"},{"issue":"1","key":"6180_CR20","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu N (1979) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9(1):62\u201366. \n                    https:\/\/doi.org\/10.1109\/TSMC.1979.4310076","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"6180_CR21","doi-asserted-by":"publisher","unstructured":"Pham I, Polasek M (2014) Algorithm for military object detection using image data. In: 2014 IEEE\/AIAA 33rd Digital avionics systems conference (DASC), pp 3D3\u20131\u20133D3\u201315. \n                    https:\/\/doi.org\/10.1109\/DASC.2014.6979457","DOI":"10.1109\/DASC.2014.6979457"},{"key":"6180_CR22","doi-asserted-by":"publisher","unstructured":"Possegger H, Mauthner T, Bischof H (2015) In defense of color-based model-free tracking. In: 2015 IEEE Conference on computer vision and pattern recognition (CVPR), pp 2113\u20132120. \n                    https:\/\/doi.org\/10.1109\/CVPR.2015.7298823","DOI":"10.1109\/CVPR.2015.7298823"},{"issue":"1","key":"6180_CR23","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"DA Ross","year":"2008","unstructured":"Ross DA, Lim J, Lin RS, Yang MH (2008) Incremental learning for robust visual tracking. Int J Comput Vis 77(1):125\u2013141. \n                    https:\/\/doi.org\/10.1007\/s11263-007-0075-7","journal-title":"Int J Comput Vis"},{"issue":"1","key":"6180_CR24","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1186\/s13673-015-0025-2","volume":"5","author":"BA Sarif","year":"2015","unstructured":"Sarif BA, Pourazad MT, Nasiopoulos P, Leung VC, Mohamed A (2015) Fairness scheme for energy efficient H.264\/AVC-based video sensor network. Human-Centric Comput Inform Sci 5(1):7. \n                    https:\/\/doi.org\/10.1186\/s13673-015-0025-2","journal-title":"Human-Centric Comput Inform Sci"},{"key":"6180_CR25","doi-asserted-by":"publisher","unstructured":"Sevilla-Lara L, Learned-Miller E (2012) Distribution fields for tracking. In: 2012 IEEE Conference on computer vision and pattern recognition, pp 1910\u20131917. \n                    https:\/\/doi.org\/10.1109\/CVPR.2012.6247891","DOI":"10.1109\/CVPR.2012.6247891"},{"key":"6180_CR26","unstructured":"Sidib\u00e9 D, Fofi D, M\u00e9riaudeau F (2010) Using visual saliency for object tracking with particle filters. In: 2010 18th European signal processing conference, pp 1776\u20131780"},{"issue":"7","key":"6180_CR27","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230 https:\/\/doi.org\/10.1109\/TPAMI.2013.230","volume":"36","author":"AWM Smeulders","year":"2014","unstructured":"Smeulders AWM, Chu DM, Cucchiara R, Calderara S, Dehghan A, Shah M (2014) Visual tracking: an experimental survey. IEEE Trans Pattern Anal Mach Intell 36(7):1442\u20131468. \n                    https:\/\/doi.org\/10.1109\/TPAMI.2013.230","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"6180_CR28","doi-asserted-by":"publisher","first-page":"1826","DOI":"10.1016\/j.patcog.2013.11.028","volume":"47","author":"Y Su","year":"2014","unstructured":"Su Y, Zhao Q, Zhao L, Gu D (2014) Abrupt motion tracking using a visual saliency embedded particle filter. Pattern Recogn 47(5):1826\u20131834. \n                    https:\/\/doi.org\/10.1016\/j.patcog.2013.11.028","journal-title":"Pattern Recogn"},{"issue":"1","key":"6180_CR29","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1186\/s13673-015-0051-0","volume":"5","author":"Y Sung","year":"2015","unstructured":"Sung Y, Kwak J, Park JH (2015) Graph-based motor primitive generation framework. Human-Centric Comput Inform Sci 5(1):35. \n                    https:\/\/doi.org\/10.1186\/s13673-015-0051-0","journal-title":"Human-Centric Comput Inform Sci"},{"key":"6180_CR30","doi-asserted-by":"publisher","unstructured":"Vega-Maldonado S, Wario F, Ar\u00e1mburo-Liz\u00e1rraga J, Perez-Cisneros M, Cedano-Olvera M (2015) Visual registration and tracking for traffic monitoring. In: 2015 IEEE First international smart cities conference (ISC2), pp 1\u20136. \n                    https:\/\/doi.org\/10.1109\/ISC2.2015.7366216","DOI":"10.1109\/ISC2.2015.7366216"},{"key":"6180_CR31","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.patrec.2014.03.025","volume":"49","author":"T Vojir","year":"2014","unstructured":"Vojir T, Noskova J, Matas J (2014) Robust scale-adaptive mean-shift for tracking. Pattern Recogn Lett 49:250\u2013258. \n                    https:\/\/doi.org\/10.1016\/j.patrec.2014.03.025","journal-title":"Pattern Recogn Lett"},{"issue":"18","key":"6180_CR32","doi-asserted-by":"publisher","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. \n                    https:\/\/doi.org\/10.1016\/j.neucom.2011.07.024","journal-title":"Neurocomputing"},{"issue":"4","key":"6180_CR33","doi-asserted-by":"publisher","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. \n                    https:\/\/doi.org\/10.1145\/1177352.1177355","journal-title":"ACM Comput Surv"},{"issue":"1","key":"6180_CR34","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s11265-013-0803-x","volume":"76","author":"S Yoo","year":"2014","unstructured":"Yoo S, Kim W, Kim C (2014) Saliency combined particle filtering for aircraft tracking. J Signal Process Syst 76(1):19\u201331. \n                    https:\/\/doi.org\/10.1007\/s11265-013-0803-x","journal-title":"J Signal Process Syst"},{"key":"6180_CR35","doi-asserted-by":"publisher","unstructured":"Yuan Y, Gao C, Liu Q, Wang J, Zhang C (2014) Using local saliency for object tracking with particle filters. In: 2014 IEEE International Conference on signal processing, communications and computing (ICSPCC), pp 388\u2013393. \n                    https:\/\/doi.org\/10.1109\/ICSPCC.2014.6986221","DOI":"10.1109\/ICSPCC.2014.6986221"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6180-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6180-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6180-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,3]],"date-time":"2019-06-03T19:20:53Z","timestamp":1559589653000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6180-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,4]]},"references-count":35,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2018,11]]}},"alternative-id":["6180"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6180-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2018,6,4]]},"assertion":[{"value":"23 March 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 April 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 May 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors declare that they have no conflict of interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interests"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Ethical Approval"}}]}}