{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:25:35Z","timestamp":1747196735632,"version":"3.40.5"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319143637"},{"type":"electronic","value":"9783319143644"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-14364-4_73","type":"book-chapter","created":{"date-parts":[[2014,12,2]],"date-time":"2014-12-02T12:26:46Z","timestamp":1417523206000},"page":"757-769","source":"Crossref","is-referenced-by-count":3,"title":["Precise 3D Measurements for Tracked Objects from Synchronized Stereo-Video Sequences"],"prefix":"10.1007","author":[{"given":"Panagiotis","family":"Agrafiotis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Georgopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anastasios D.","family":"Doulamis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolaos D.","family":"Doulamis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"8","key":"73_CR1","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1109\/TPAMI.2004.53","volume":"26","author":"S. Avidan","year":"2004","unstructured":"Avidan, S.: Support Vector Tracking. IEEE Transaction on Pattern Analysis and Machine Intelligence\u00a026(8), 1064\u20131072 (2004)","journal-title":"IEEE Transaction on Pattern Analysis and Machine Intelligence"},{"key":"73_CR2","doi-asserted-by":"crossref","unstructured":"Lepetit, V., Lagger, P., Fua, P.: Randomized trees for real-time keypoint recognition. In: Proc. IEEE CVPR, vol.\u00a02, pp. 775\u2013781 (2005)","DOI":"10.1109\/CVPR.2005.288"},{"issue":"3","key":"73_CR3","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1109\/TNN.2003.810605","volume":"14","author":"A. Doulamis","year":"2003","unstructured":"Doulamis, A., Ntalianis, K., Doulamis, N., Kollias, S.: An Efficient Fully-Unsupervised Video Object Segmentation Scheme Using an Adaptive Neural Network Classifier Architecture. IEEE Trans. on NNs\u00a014(3), 616\u2013630 (2003)","journal-title":"IEEE Trans. on NNs"},{"key":"73_CR4","doi-asserted-by":"crossref","unstructured":"Stalder, S., Grabner, H., Van Gool, L.: Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition. In: Proc. of IEEE ICCV, pp. 1409\u20131416 (2009)","DOI":"10.1109\/ICCVW.2009.5457445"},{"key":"73_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-540-88682-2_19","volume-title":"Computer Vision \u2013 ECCV 2008","author":"H. Grabner","year":"2008","unstructured":"Grabner, H., Leistner, C., Bischof, H.: Semi-supervised on-line boosting for robust tracking. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol.\u00a05302, pp. 234\u2013247. Springer, Heidelberg (2008)"},{"key":"73_CR6","doi-asserted-by":"crossref","unstructured":"Tang, F., Brennan, S., Zhao, Q., Tao, H.: Co-tracking using semi-supervised support vector machines. In: Proc. of IEEE ICCV, pp. 1\u20138 (2007)","DOI":"10.1109\/ICCV.2007.4408954"},{"key":"73_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"678","DOI":"10.1007\/978-3-540-88688-4_50","volume-title":"Computer Vision \u2013 ECCV 2008","author":"Q. Yu","year":"2008","unstructured":"Yu, Q., Dinh, T.B., Medioni, G.G.: Online tracking and reacquisition using co-trained generative and discriminative trackers. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol.\u00a05303, pp. 678\u2013691. Springer, Heidelberg (2008)"},{"key":"73_CR8","doi-asserted-by":"crossref","unstructured":"Cehovin, L., Kristan, M., Leonardis, A.: An adaptive coupled-layer visual model for robust visual tracking. In: Proc of IEEE ICCV, pp. 1363\u20131370 (2011)","DOI":"10.1109\/ICCV.2011.6126390"},{"key":"73_CR9","doi-asserted-by":"crossref","unstructured":"Xing, J., Ai, H., Lao, S.: Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 1200\u20131207 (2009)","DOI":"10.1109\/CVPR.2009.5206745"},{"key":"73_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1007\/978-3-540-88688-4_58","volume-title":"Computer Vision \u2013 ECCV 2008","author":"C. Huang","year":"2008","unstructured":"Huang, C., Wu, B., Nevatia, R.: Robust Object Tracking by Hierarchical Association of Detection Responses. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol.\u00a05303, pp. 788\u2013801. Springer, Heidelberg (2008)"},{"key":"73_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, L., Yuan, L., Nevatia, R.: Global data association for multi-object tracking using network flows. In: Proc. of IEEE CVPR, pp. 1\u20138 (2008)","DOI":"10.1109\/CVPR.2008.4587584"},{"key":"73_CR12","doi-asserted-by":"crossref","unstructured":"Henriques, J.F., Caseiro, R., Batista, J.: Globally optimal solution to multi-object tracking with merged measurements. In: Proc. of IEEE ICCV, pp. 2470\u20132477 (2011)","DOI":"10.1109\/ICCV.2011.6126532"},{"issue":"2","key":"73_CR13","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.cviu.2008.02.005","volume":"112","author":"D. Wan","year":"2008","unstructured":"Wan, D., Zhaou, J.: Stereo Vision Using Two PTZ Cameras. Computer Vision and Image Understanding\u00a0112(2), 184\u2013194 (2008)","journal-title":"Computer Vision and Image Understanding"},{"key":"73_CR14","doi-asserted-by":"crossref","unstructured":"Hart, J., Scassellati, B., Zucker, S.W.: Epipolar Geometry for Humanoid Robotic Heads. In: Proc. of 4th International Cognitive Vision Workshop, pp. 24\u201336 (2008)","DOI":"10.1007\/978-3-540-92781-5_3"},{"key":"73_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1007\/978-3-642-03767-2_129","volume-title":"Computer Analysis of Images and Patterns","author":"S. Kumar","year":"2009","unstructured":"Kumar, S., Micheloni, C., Piciarelli, C.: Stereo localization using dual PTZ cameras. In: Jiang, X., Petkov, N. (eds.) CAIP 2009. LNCS, vol.\u00a05702, pp. 1061\u20131069. Springer, Heidelberg (2009)"},{"issue":"4","key":"73_CR16","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1109\/JRA.1987.1087109","volume":"3","author":"R.Y. Tsai","year":"1987","unstructured":"Tsai, R.Y.: A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE Int. Journal Robotics and Automation\u00a03(4), 323\u2013344 (1987)","journal-title":"IEEE Int. Journal Robotics and Automation"},{"key":"73_CR17","unstructured":"Heikkil\u00e4, J., Silven, O.: A four-step camera calibration procedure with implicit image correction. In: CVP 1997 (1997)"},{"issue":"11","key":"73_CR18","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.1109\/34.888718","volume":"22","author":"Z. Zhang","year":"2000","unstructured":"Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. on PAMI\u00a022(11), 1330\u20131334 (2000)","journal-title":"IEEE Trans. on PAMI"},{"key":"73_CR19","doi-asserted-by":"publisher","first-page":"72","DOI":"10.5772\/54049","volume":"10","author":"M. Kokkinos","year":"2013","unstructured":"Kokkinos, M., Doulamis, N.D., Doulamis, A.D.: Local Geometrically Enriched Mixtures for Stable and Robust Human Tracking in Detecting Falls. Int. J. Adv. Robot Syst.\u00a010, 72 (2013), doi:10.5772\/54049","journal-title":"Int. J. Adv. Robot Syst."},{"key":"73_CR20","unstructured":"Hartley, R., Zisserman, A.: Multiple view geometry in computer vision. Cambridge University Press"},{"key":"73_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1007\/3-540-44480-7_21","volume-title":"Vision Algorithms: Theory and Practice","author":"B. Triggs","year":"2000","unstructured":"Triggs, B., McLauchlan, P.F., Hartley, R.I., Fitzgibbon, A.W.: Bundle adjustment \u2013 A modern synthesis. In: Triggs, B., Zisserman, A., Szeliski, R. (eds.) ICCV-WS 1999. LNCS, vol.\u00a01883, pp. 298\u2013372. Springer, Heidelberg (2000)"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-14364-4_73","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T22:20:57Z","timestamp":1747174857000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-14364-4_73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319143637","9783319143644"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-14364-4_73","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}