{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T11:10:08Z","timestamp":1748776208060,"version":"3.41.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319299709"},{"type":"electronic","value":"9783319299716"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-29971-6_13","type":"book-chapter","created":{"date-parts":[[2016,2,11]],"date-time":"2016-02-11T20:31:37Z","timestamp":1455222697000},"page":"240-255","source":"Crossref","is-referenced-by-count":1,"title":["Fully-Automatic Target Detection and Tracking for Real-Time, Airborne Imaging Applications"],"prefix":"10.1007","author":[{"given":"Tun\u00e7","family":"Alkanat","sequence":"first","affiliation":[]},{"given":"Emre","family":"Tunali","sequence":"additional","affiliation":[]},{"given":"Sinan","family":"\u00d6z","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"13_CR1","doi-asserted-by":"publisher","first-page":"1806","DOI":"10.1109\/TPAMI.2011.21","volume":"33","author":"J Berclaz","year":"2011","unstructured":"Berclaz, J., Fleuret, F., Turetken, E., Fua, P.: Multiple object tracking using k-shortest paths optimization. IEEE Trans. Pattern Anal. Mach. Intell. 33, 1806\u20131819 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Niedfeldt, P.C., Beard, R.W.: Multiple target tracking using recursive ransac. In: American Control Conference (ACC), pp. 3393\u20133398. IEEE (2014)","DOI":"10.1109\/ACC.2014.6859273"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Andriyenko, A., Schindler, K.: Multi-target tracking by continuous energy minimization. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1265\u20131272. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995311"},{"key":"13_CR4","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60, 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1016\/j.cviu.2007.09.014","volume":"110","author":"H Bay","year":"2008","unstructured":"Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (surf). Comput. Vis. Image Underst. 110, 346\u2013359 (2008)","journal-title":"Comput. Vis. Image Underst."},{"key":"13_CR6","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1016\/j.imavis.2004.02.006","volume":"22","author":"J Matas","year":"2004","unstructured":"Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image Vis. Comput. 22, 761\u2013767 (2004)","journal-title":"Image Vis. Comput."},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Harris, C., Stephens, M.: A combined corner and edge detector. In: Alvey Vision Conference, UK, Manchesterm, vol. 15, p. 50 (1988)","DOI":"10.5244\/C.2.23"},{"key":"13_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1007\/11744023_34","volume-title":"Computer Vision \u2013 ECCV 2006","author":"E Rosten","year":"2006","unstructured":"Rosten, E., Drummond, T.W.: Machine learning for high-speed corner detection. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 430\u2013443. Springer, Heidelberg (2006)"},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"6","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679\u2013698 (1986)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"13_CR10","first-page":"15","volume":"10","author":"JM Prewitt","year":"1970","unstructured":"Prewitt, J.M.: Object enhancement and extraction. Picture Process. Psychopictorics 10, 15\u201319 (1970)","journal-title":"Picture Process. Psychopictorics"},{"key":"13_CR11","unstructured":"Sobel, I., Feldman, G.: A 3x3 isotropic gradient operator for image processing. a talk at the Stanford Artificial Project, pp. 271\u2013272 (1968)"},{"key":"13_CR12","first-page":"35","volume":"82","author":"RE Kalman","year":"1960","unstructured":"Kalman, R.E.: A new approach to linear filtering and prediction problems. J. Fluids Eng. 82, 35\u201345 (1960)","journal-title":"J. Fluids Eng."},{"key":"13_CR13","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1002\/asjc.204","volume":"12","author":"C Tsai","year":"2010","unstructured":"Tsai, C., Dutoit, X., Song, K., Van Brussel, H., Nuttin, M.: Robust face tracking control of a mobile robot using self-tuning kalman filter and echo state network. Asian J. Control 12, 488\u2013509 (2010)","journal-title":"Asian J. Control"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Ramakoti, N., Vinay, A., Jatoth, R.K.: Particle swarm optimization aided kalman filter for object tracking. In: International Conference on Advances in Computing, Control, & Telecommunication Technologies, ACT 2009, pp. 531\u2013533. IEEE (2009)","DOI":"10.1109\/ACT.2009.135"},{"key":"13_CR15","volume-title":"Beyond the Kalman Filter: Particle Filters for Tracking Applications","author":"B Ristic","year":"2004","unstructured":"Ristic, B., Arulampalam, S., Gordon, N.: Beyond the Kalman Filter: Particle Filters for Tracking Applications, vol. 685. Artech House, Boston (2004)"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Fortmann, T.E., Bar-Shalom, Y., Scheffe, M.: Multi-target tracking using joint probabilistic data association. In: 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, vol. 19, pp. 807\u2013812. IEEE (1980)","DOI":"10.1109\/CDC.1980.271915"},{"key":"13_CR17","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1109\/TAC.1979.1102177","volume":"24","author":"DB Reid","year":"1979","unstructured":"Reid, D.B.: An algorithm for tracking multiple targets. IEEE Trans. Autom. Contr. 24, 843\u2013854 (1979)","journal-title":"IEEE Trans. Autom. Contr."},{"key":"13_CR18","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","volume":"33","author":"E Parzen","year":"1962","unstructured":"Parzen, E.: On estimation of a probability density function and mode. Ann. Math. Stat. 33, 1065\u20131076 (1962)","journal-title":"Ann. Math. Stat."},{"key":"13_CR19","doi-asserted-by":"crossref","unstructured":"Alkanat, T., Tunal\u0131, E., \u00d6z, S.: A real-time, automatic target detection and tracking method for variable number of targets in airborne imagery. In: Proceedings of the 10th International Conference on Computer Vision Theory and Applications, pp. 61\u201369 (2015)","DOI":"10.5220\/0005298400610069"},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Zhu, W., Liang, S., Wei, Y., Sun, J.: Saliency optimization from robust background detection. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2814\u20132821. IEEE (2014)","DOI":"10.1109\/CVPR.2014.360"},{"key":"13_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/978-3-642-33712-3_3","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Y Wei","year":"2012","unstructured":"Wei, Y., Wen, F., Zhu, W., Sun, J.: Geodesic saliency using background priors. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 29\u201342. Springer, Heidelberg (2012)"},{"key":"13_CR22","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1145\/1177352.1177355","volume":"38","author":"A Yilmaz","year":"2006","unstructured":"Yilmaz, A., Javed, O., Shah, M.: Object tracking: a survey. ACM Comput. Surv. (CSUR) 38, 13 (2006)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Aytekin, C., Tunal\u0131, E., \u00d6z, S.: Fast semi-automatic target initialization based on visual saliency for airborne thermal imagery. In: Proceedings of the 9th International Conference on Computer Vision Theory and Applications, Visapp 2014, pp. 490\u2013497 (2014)","DOI":"10.5220\/0004668904900497"},{"key":"13_CR24","unstructured":"VIVID (2005). http:\/\/vision.cse.psu.edu\/data\/vivideval\/datasets\/datasets.html"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Bolme, D.S., Beveridge, J.R., Draper, B.A., Lui, Y.M.: Visual object tracking using adaptive correlation filters. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2544\u20132550 (2010)","DOI":"10.1109\/CVPR.2010.5539960"}],"container-title":["Communications in Computer and Information Science","Computer Vision, Imaging and Computer Graphics Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-29971-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T10:44:26Z","timestamp":1748774666000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-29971-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319299709","9783319299716"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-29971-6_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]}}}