{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:27:17Z","timestamp":1780511237640,"version":"3.54.1"},"reference-count":75,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2020M3H8A1115028"],"award-info":[{"award-number":["NRF-2020M3H8A1115028"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1007\/s00138-023-01476-1","type":"journal-article","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T22:04:27Z","timestamp":1697839467000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["CCTV-Calib: a toolbox to calibrate surveillance cameras around the globe"],"prefix":"10.1007","volume":"34","author":[{"given":"Francois","family":"Rameau","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaesung","family":"Choe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seokju","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"In\u00a0So","family":"Kweon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,20]]},"reference":[{"key":"1476_CR1","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1023\/A:1012471930694","volume":"45","author":"L Agapito","year":"2001","unstructured":"Agapito, L., Hayman, E., Reid, I.: Self-calibration of rotating and zooming cameras. Int. J. Comput. Vis. (IJCV) 45, 107\u2013127 (2001)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"1476_CR2","doi-asserted-by":"publisher","first-page":"327","DOI":"10.5201\/ipol.2014.106","volume":"4","author":"M Alem\u00e1n-Flores","year":"2014","unstructured":"Alem\u00e1n-Flores, M., Alvarez, L., Gomez, L., Santana-Cedr\u00e9s, D.: Automatic lens distortion correction using one-parameter division models. Image Process. Line 4, 327\u2013343 (2014)","journal-title":"Image Process. Line"},{"key":"1476_CR3","doi-asserted-by":"crossref","unstructured":"Altekar, N., Como, S., Lu, D., Wishart, J., Bruyere, D., Saleem, F., Head, K.L.: Infrastructure-based sensor data capture systems for measurement of operational safety assessment metrics. SAE Technical Papers (2021)","DOI":"10.4271\/2021-01-0175"},{"key":"1476_CR4","doi-asserted-by":"crossref","unstructured":"Antunes, M., P Barreto, J., Aouada, D., Ottersten, B.: Unsupervised vanishing point detection and camera calibration from a single manhattan image with radial distortion. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.708"},{"key":"1476_CR5","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.cviu.2006.06.003","volume":"103","author":"JP Barreto","year":"2006","unstructured":"Barreto, J.P.: A unifying geometric representation for central projection systems. Comput. Vis. Image Underst. (CVIU) 103, 208\u2013217 (2006)","journal-title":"Comput. Vis. Image Underst. (CVIU)"},{"key":"1476_CR6","doi-asserted-by":"crossref","unstructured":"Bartl, V., Jur\u00e1nek, R., \u0160pa\u0148hel, J., Herout, A.: PlaneCalib: automatic camera calibration by multiple observations of rigid objects on plane. In: Digital Image Computing: Techniques and Applications (DICTA). IEEE (2020)","DOI":"10.1109\/DICTA51227.2020.9363417"},{"issue":"1","key":"1476_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00138-020-01119-9","volume":"32","author":"V Bartl","year":"2021","unstructured":"Bartl, V., \u0160pa\u0148hel, J., Dobe\u0161, P., Juranek, R., Herout, A.: Automatic camera calibration by landmarks on rigid objects. Mach. Vis. Appl. (MVA) 32(1), 1\u201313 (2021)","journal-title":"Mach. Vis. Appl. (MVA)"},{"issue":"3\u20134","key":"1476_CR8","first-page":"1","volume":"14","author":"R Bhardwaj","year":"2018","unstructured":"Bhardwaj, R., Tummala, G.K., Ramalingam, G., Ramjee, R., Sinha, P.: AutocAlib: automatic traffic camera calibration at scale. ACM Trans. Sens. Netw. (TOSN) 14(3\u20134), 1\u201327 (2018)","journal-title":"ACM Trans. Sens. Netw. (TOSN)"},{"key":"1476_CR9","doi-asserted-by":"crossref","unstructured":"Bian, J., Lin, W.Y., Matsushita, Y., Yeung, S.K., Nguyen, T.D., Cheng, M.M.: GMS: grid-based motion statistics for fast, ultra-robust feature correspondence (2017)","DOI":"10.1109\/CVPR.2017.302"},{"key":"1476_CR10","doi-asserted-by":"crossref","unstructured":"Bogdan, O., Eckstein, V., Rameau, F., Bazin, J.C.: DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view cameras. In: ACM SIGGRAPH European Conference on Visual Media Production (CVMP) (2018)","DOI":"10.1145\/3278471.3278479"},{"key":"1476_CR11","unstructured":"Buades, A., Coll, B., Morel, J.M.: A non-local algorithm for image denoising. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2005)"},{"key":"1476_CR12","doi-asserted-by":"crossref","unstructured":"Bujnak, M., Kukelova, Z., Pajdla, T.: A general solution to the p4p problem for camera with unknown focal length. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2008)","DOI":"10.1109\/CVPR.2008.4587793"},{"key":"1476_CR13","doi-asserted-by":"crossref","unstructured":"DeTone, D., Malisiewicz, T., Rabinovich, A.: SuperPoint: self-supervised interest point detection and description. In: IEEE Conference on Computer Vision and Pattern Recognition\u2014Workshop (CVPR-W) (2018)","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"1476_CR14","doi-asserted-by":"crossref","unstructured":"Deutscher, J., Isard, M., MacCormick, J.: Automatic camera calibration from a single manhattan image. In: European Conference on Computer Vision (ECCV) (2002)","DOI":"10.1007\/3-540-47979-1_12"},{"issue":"8","key":"1476_CR15","first-page":"855","volume":"37","author":"CB Duane","year":"1971","unstructured":"Duane, C.B.: Close-range camera calibration. Photogramm. Eng. 37(8), 855\u2013866 (1971)","journal-title":"Photogramm. Eng."},{"key":"1476_CR16","doi-asserted-by":"crossref","unstructured":"Dubsk\u00e1, M., Herout, A., Sochor, J.: Automatic camera calibration for traffic understanding. In: British Machine Vision Conference (BMVC), vol. 4. p. 8 (2014)","DOI":"10.5244\/C.28.42"},{"issue":"10","key":"1476_CR17","doi-asserted-by":"publisher","first-page":"1858","DOI":"10.1109\/TPAMI.2008.113","volume":"30","author":"GD Evangelidis","year":"2008","unstructured":"Evangelidis, G.D., Psarakis, E.Z.: Parametric image alignment using enhanced correlation coefficient maximization. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 30(10), 1858\u20131865 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"key":"1476_CR18","unstructured":"Fitzgibbon, A.W.: Simultaneous linear estimation of multiple view geometry and lens distortion. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2001)"},{"issue":"8","key":"1476_CR19","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1109\/TPAMI.2003.1217599","volume":"25","author":"XS Gao","year":"2003","unstructured":"Gao, X.S., Hou, X.R., Tang, J., Cheng, H.F.: Complete solution classification for the perspective-three-point problem. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 25(8), 930\u2013943 (2003)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"key":"1476_CR20","doi-asserted-by":"crossref","unstructured":"Ha, H., Rameau, F., Kweon, I.S.: 6-DOF direct homography tracking with extended Kalman filter. In: Pacific-Rim Symposium on Image and Video Technology (PSIVT) (2015)","DOI":"10.1007\/978-3-319-29451-3_36"},{"key":"1476_CR21","doi-asserted-by":"crossref","unstructured":"Hartley, R., Zisserman, A.: Multiple view geometry in computer vision (2003)","DOI":"10.1017\/CBO9780511811685"},{"key":"1476_CR22","unstructured":"Hu, F., Ren, Y., Avadhanam, N., Pashiney, A.: System and method for optimal camera calibration, May\u00a023. US Patent 11,657,535 (2023)"},{"key":"1476_CR23","doi-asserted-by":"crossref","unstructured":"Huang, S., Ying, X., Rong, J., Shang, Z., Zha, H.: Camera calibration from periodic motion of a pedestrian. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)","DOI":"10.1109\/CVPR.2016.330"},{"key":"1476_CR24","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/TPAMI.2021.3094531","volume":"855","author":"HG Jeon","year":"2021","unstructured":"Jeon, H.G., Im, S., Lee, B.U., Rameau, F., Choi, D.G., Oh, J., Kweon, I.S., Hebert, M.: A large-scale virtual dataset and egocentric localization for disaster responses. IEEE Tran. Pattern Anal. Mach. Intell. TPAMI 855, 87 (2021). https:\/\/doi.org\/10.1109\/TPAMI.2021.3094531","journal-title":"IEEE Tran. Pattern Anal. Mach. Intell. TPAMI"},{"key":"1476_CR25","unstructured":"Jocher, G., Stoken, A., Chaurasia, A., Borovec, J., TaoXie, NanoCode012, Kwon, Y., Michael, K., Changyu, L., Fang, J., Laughing, Abhiram V., yxNONG, tkianai, Skalski, P., Hogan, A., Nadar, J., Mammana, imyhxy, L., Fati, AlexWang1900, C., Montes, D., Hajek, J., Diaconu, L., Minh, M.T.: Albinxavi, Marc, Oleg, Fatih, Wanghaoyang0106.: ultralytics\/yolov5: v6.0 - YOLOv5n \u2019Nano\u2019 models, Roboflow integration, TensorFlow export, OpenCV DNN support (October 2021)"},{"key":"1476_CR26","doi-asserted-by":"crossref","unstructured":"Junejo, I., Foroosh, H.: Robust auto-calibration from pedestrians. In: IEEE International Conference on Video and Signal Based Surveillance (2006)","DOI":"10.1109\/AVSS.2006.99"},{"issue":"8","key":"1476_CR27","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.1109\/TPAMI.2006.153","volume":"28","author":"J Kannala","year":"2006","unstructured":"Kannala, J., Brandt, S.S.: A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 28(8), 1335\u20131340 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"key":"1476_CR28","doi-asserted-by":"crossref","unstructured":"Krahnstoever, N., Mendonca, P.: Bayesian autocalibration for surveillance. In: IEEE International Conference on Computer Vision (ICCV) (2005)","DOI":"10.1109\/ICCV.2005.44"},{"key":"1476_CR29","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Bujnak, M., Pajdla, T.: Real-time solution to the absolute pose problem with unknown radial distortion and focal length. In: IEEE International Conference on Computer Vision (ICCV) (2013)","DOI":"10.1109\/ICCV.2013.350"},{"key":"1476_CR30","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Heller, J., Bujnak, M., Pajdla, T.: Radial distortion homography. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)","DOI":"10.1109\/CVPR.2015.7298663"},{"key":"1476_CR31","doi-asserted-by":"crossref","unstructured":"Kukelova, Z., Pajdla, T.: A minimal solution to the autocalibration of radial distortion. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2007)","DOI":"10.1109\/CVPR.2007.383063"},{"issue":"2","key":"1476_CR32","first-page":"199","volume":"6","author":"H Kurdi","year":"2014","unstructured":"Kurdi, H.: Review of closed circuit television techniques for vehicles traffic management. Int. J. Comput. Sci. Inf. Technol. 6(2), 199 (2014)","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"1476_CR33","doi-asserted-by":"crossref","unstructured":"Laugraud, B., Pi\u00e9rard, S., Braham, M., Van\u00a0Droogenbroeck, M.: Simple median-based method for stationary background generation using background subtraction algorithms. In: International Conference on Image Analysis and Processing (2015)","DOI":"10.1007\/978-3-319-23222-5_58"},{"key":"1476_CR34","doi-asserted-by":"crossref","unstructured":"Li, C., Zeeshan\u00a0Z., M, Tran, Q.H., Yu, X., D Hager, G., Chandraker, M.: Deep supervision with shape concepts for occlusion-aware 3D object parsing. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.49"},{"key":"1476_CR35","doi-asserted-by":"publisher","first-page":"1828","DOI":"10.1109\/TPAMI.2018.2863285","volume":"41","author":"C Li","year":"2018","unstructured":"Li, C., Zia, M.Z., Tran, Q.H., Yu, X., Hager, G.D., Chandraker, M.: Deep supervision with intermediate concepts. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI) 41, 1828\u20131843 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"issue":"1","key":"1476_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13640-015-0086-1","volume":"2015","author":"S Li","year":"2015","unstructured":"Li, S., Nguyen, V.H., Ma, M., Jin, C.B., Do, T.D., Kim, H.: A simplified nonlinear regression method for human height estimation in video surveillance. EURASIP J. Image Video Process. 2015(1), 1\u20139 (2015)","journal-title":"EURASIP J. Image Video Process."},{"key":"1476_CR37","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft COCO: common objects in context. In: European Conference on Computer Vision (ECCV) (2014)","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"1476_CR38","unstructured":"Liu, J., Collins, R.T., Liu, Y.: Surveillance camera autocalibration based on pedestrian height distributions. In: British Machine Vision Conference (BMVC) (2011)"},{"key":"1476_CR39","doi-asserted-by":"crossref","unstructured":"Liu, X., Liu, W., Ma, H., Fu, H.: Large-scale vehicle re-identification in urban surveillance videos. In: IEEE International Conference on Multimedia and Expo (ICME) (2016)","DOI":"10.1109\/ICME.2016.7553002"},{"issue":"2","key":"1476_CR40","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. (IJCV) 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"key":"1476_CR41","doi-asserted-by":"crossref","unstructured":"Lu, D., C Jammula, V., Como, S., Wishart, J., Chen, Y., Yang, Y.: Carom\u2013vehicle localization and traffic scene reconstruction from monocular cameras on road infrastructures. In: IEEE International Conference on Robotics and Automation (ICRA) (2021)","DOI":"10.1109\/ICRA48506.2021.9561190"},{"key":"1476_CR42","unstructured":"Lv, F., Zhao, T., Nevatia, R.: Self-calibration of a camera from video of a walking human. In: IEEE International Conference on Pattern Recognition (ICPR) (2002)"},{"key":"1476_CR43","unstructured":"Milan, A., Leal-Taix\u00e9, L., Reid, I., Roth, S., Schindler, K.: MOT16: a benchmark for multi-object tracking. arXiv preprint arXiv:1603.00831 (2016)"},{"issue":"7","key":"1476_CR44","doi-asserted-by":"publisher","first-page":"211","DOI":"10.3390\/ijgi6070211","volume":"6","author":"A Milosavljevi\u0107","year":"2017","unstructured":"Milosavljevi\u0107, A., Ran\u010di\u0107, D., Dimitrijevi\u0107, A., Predi\u0107, B., Mihajlovi\u0107, V.: A method for estimating surveillance video georeferences. ISPRS Int. J. Geo Inf. 6(7), 211 (2017)","journal-title":"ISPRS Int. J. Geo Inf."},{"issue":"2","key":"1476_CR45","doi-asserted-by":"publisher","first-page":"438","DOI":"10.1137\/080732730","volume":"2","author":"JM Morel","year":"2009","unstructured":"Morel, J.M., Asift, GYu.: A new framework for fully affine invariant image comparison. SIAM J. Imaging Sci. 2(2), 438\u2013469 (2009)","journal-title":"SIAM J. Imaging Sci."},{"key":"1476_CR46","doi-asserted-by":"crossref","unstructured":"Naphade, M., Wang, S., Anastasiu, D., Tang, Z., Chang, M.C., Yang, X., Yao, Y., Zheng, L., Chakraborty, P., Lopez, C., et\u00a0al.: The 5th AI city challenge. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2021)","DOI":"10.1109\/CVPRW53098.2021.00482"},{"key":"1476_CR47","doi-asserted-by":"crossref","unstructured":"Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: European Conference on Computer Vision (ECCV) (2016)","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"1476_CR48","unstructured":"Oskarsson, M.: A fast minimal solver for absolute camera pose with unknown focal length and radial distortion from four planar points. arXiv preprint arXiv:1805.10705 (2018)"},{"key":"1476_CR49","doi-asserted-by":"crossref","unstructured":"Pritts, J., Kukelova, Z., Larsson, V., Chum, O.: Radially-distorted conjugate translations. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)","DOI":"10.1109\/CVPR.2018.00213"},{"key":"1476_CR50","doi-asserted-by":"crossref","unstructured":"Radosavovic, I., Kosaraju, R.P., Girshick, R., He, K., Doll\u00e1r, P.: Designing network design spaces. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.01044"},{"key":"1476_CR51","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1007\/s11263-021-01558-5","volume":"130","author":"F Rameau","year":"2022","unstructured":"Rameau, F., Bailo, O., Park, J., Joo, K., Kweon, I.S.: Real-time multi-car localization and see-through system. Int. J. Comput. Vis. (IJCV) 130, 384\u2013404 (2022)","journal-title":"Int. J. Comput. Vis. (IJCV)"},{"issue":"11","key":"1476_CR52","doi-asserted-by":"publisher","first-page":"2395","DOI":"10.1109\/TVCG.2016.2593768","volume":"22","author":"F Rameau","year":"2016","unstructured":"Rameau, F., Ha, H., Joo, K., Choi, J., Park, K., Kweon, I.S.: A real-time augmented reality system to see-through cars. IEEE Trans. Vis. Comput. Graph. (TVCG) 22(11), 2395\u20132404 (2016)","journal-title":"IEEE Trans. Vis. Comput. Graph. (TVCG)"},{"key":"1476_CR53","doi-asserted-by":"crossref","unstructured":"Rameau, F., Habed, A., Demonceaux, C., Sidib\u00e9, D., Fofi, D.: Self-calibration of a PTZ camera using new LMI constraints. In: Asian Conference on Computer Vision (ACCV) (2013)","DOI":"10.1007\/978-3-642-37447-0_23"},{"key":"1476_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2021.103353","volume":"217","author":"F Rameau","year":"2022","unstructured":"Rameau, F., Park, J., Bailo, O., Kweon, I.S.: MC-Calib: a generic and robust calibration toolbox for multi-camera systems. Comput. Vis. Image Underst. (CVIU) 217, 103353 (2022)","journal-title":"Comput. Vis. Image Underst. (CVIU)"},{"issue":"5","key":"1476_CR55","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/38.946629","volume":"21","author":"E Reinhard","year":"2001","unstructured":"Reinhard, E., Adhikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. IEEE Comput. Graph. Appl. 21(5), 34\u201341 (2001)","journal-title":"IEEE Comput. Graph. Appl."},{"key":"1476_CR56","doi-asserted-by":"crossref","unstructured":"Rezaei, M., Azarmi, M., Mohammad\u00a0P.F.: Mir. Traffic-Net: 3D traffic monitoring using a single camera. arXiv preprint arXiv:2109.09165 (2021)","DOI":"10.2139\/ssrn.4152596"},{"issue":"1","key":"1476_CR57","doi-asserted-by":"publisher","first-page":"38","DOI":"10.2307\/2309088","volume":"64","author":"C Robusto","year":"1957","unstructured":"Robusto, C.: The cosine-haversine formula. Am. Math. Mon. 64(1), 38\u201340 (1957)","journal-title":"Am. Math. Mon."},{"key":"1476_CR58","doi-asserted-by":"crossref","unstructured":"Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: ORB: an efficient alternative to SIFT or SURF. In: IEEE International Conference on Computer Vision (ICCV) (2011)","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"1476_CR59","doi-asserted-by":"crossref","unstructured":"Sarlin, P.E., DeTone, D., Malisiewicz, T., Rabinovich, A.: SuperGlue: learning feature matching with graph neural networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"1476_CR60","unstructured":"Schindler, G., Dellaert, F.: Atlanta world: an expectation maximization framework for simultaneous low-level edge grouping and camera calibration in complex man-made environments. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2004)"},{"issue":"2","key":"1476_CR61","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/TITS.2003.821213","volume":"4","author":"TN Schoepflin","year":"2003","unstructured":"Schoepflin, T.N., Dailey, D.J.: Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation. IEEE Trans. Intell. Transp. Syst. (TITS) 4(2), 90\u201398 (2003)","journal-title":"IEEE Trans. Intell. Transp. Syst. (TITS)"},{"issue":"7","key":"1476_CR62","doi-asserted-by":"publisher","first-page":"448","DOI":"10.3390\/ijgi9070448","volume":"9","author":"Z Shao","year":"2020","unstructured":"Shao, Z., Li, C., Li, D., Altan, O., Zhang, L., Ding, L.: An accurate matching method for projecting vector data into surveillance video to monitor and protect cultivated land. ISPRS Int. J. Geo Inf. 9(7), 448 (2020)","journal-title":"ISPRS Int. J. Geo Inf."},{"key":"1476_CR63","unstructured":"Shi, J., Tomasi, C.: Good features to track. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (1994)"},{"key":"1476_CR64","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.cviu.2017.05.015","volume":"161","author":"J Sochor","year":"2017","unstructured":"Sochor, J., Jur\u00e1nek, R., Herout, A.: Traffic surveillance camera calibration by 3D model bounding box alignment for accurate vehicle speed measurement. Comput. Vis. Image Underst. (CVIU) 161, 87\u201398 (2017)","journal-title":"Comput. Vis. Image Underst. (CVIU)"},{"key":"1476_CR65","unstructured":"Sochor, J., Jur\u00e1nek, R., \u0160panhel, J., Mar\u0161\u0131k, L., \u0160irok\u1ef3, A., Herout, A., Zemc\u0131k, P.: BrnoCompSpeed: review of traffic camera calibration and comprehensive dataset for monocular speed measurement. arXiv preprint arXiv:1702.06441, 3(5):6, (2017)"},{"key":"1476_CR66","doi-asserted-by":"publisher","first-page":"10754","DOI":"10.1109\/ACCESS.2019.2891224","volume":"7","author":"Z Tang","year":"2019","unstructured":"Tang, Z., Lin, Y.S., Lee, K.H., Hwang, J.N., Chuang, J.H.: ESTHER: joint camera self-calibration and automatic radial distortion correction from tracking of walking humans. IEEE Access 7, 10754\u201310766 (2019)","journal-title":"IEEE Access"},{"key":"1476_CR67","doi-asserted-by":"crossref","unstructured":"Tang, Z., Lin, Y.S., Lee, K.H., Hwang, J.N., Chuang, J.H., Fang, Z.: Camera self-calibration from tracking of moving persons. In: IEEE International Conference on Pattern Recognition (ICPR) (2016)","DOI":"10.1109\/ICPR.2016.7899644"},{"key":"1476_CR68","doi-asserted-by":"crossref","unstructured":"Tang, Z., Wang, G., Xiao, H., Zheng, A., Hwang, J.N.: Single-camera and inter-camera vehicle tracking and 3D speed estimation based on fusion of visual and semantic features. In: IEEE Conference on Computer Vision and Pattern Recognition\u2014Workshop (CVPR-W) (2018)","DOI":"10.1109\/CVPRW.2018.00022"},{"key":"1476_CR69","doi-asserted-by":"crossref","unstructured":"Vanhoey, K., de\u00a0Oliveira, C.E.P., Riemenschneider, H., B\u00f3dis-Szomor\u00fa, A., Man\u00e9n, S., Paudel, D.P., Gygli, M., Kobyshev, N., Kroeger, T., Dai, D., et\u00a0al.: Varcity-the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. In: ACM Transactions on Graphics (SIGGRAPH) (2017)","DOI":"10.1145\/3084363.3085085"},{"key":"1476_CR70","doi-asserted-by":"crossref","unstructured":"Yang, M.Y., Cao, Y., F\u00f6rstner, W., McDonald, J.: Robust wide baseline scene alignment based on 3D viewpoint normalization. In: International Symposium on Visual Computing (2010)","DOI":"10.1007\/978-3-642-17289-2_63"},{"key":"1476_CR71","doi-asserted-by":"crossref","unstructured":"Yu, F., Li, W., Li, Q., Liu, Y., Shi, X., Yan, J.: POI: multiple object tracking with high performance detection and appearance feature. In: European Conference on Computer Vision (ECCV) (2016)","DOI":"10.1007\/978-3-319-48881-3_3"},{"key":"1476_CR72","doi-asserted-by":"crossref","unstructured":"Zhang, C., Rameau, F., Kim, J., Argaw, D.M., Bazin, J.C., Kweon, I.S.: DeepPTZ: deep Self-Calibration for PTZ cameras. In: IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1041\u20131049 (2020)","DOI":"10.1109\/WACV45572.2020.9093629"},{"issue":"11","key":"1476_CR73","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. Pattern Anal. Mach. Intell. (TPAMI) 22(11), 1330 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI)"},{"key":"1476_CR74","unstructured":"Zhang, Z., Tang, J., Wu, G.: Simple and lightweight human pose estimation. arXiv preprint arXiv:1911.10346, (2019)"},{"key":"1476_CR75","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: IEEE International Conference on Computer Vision (ICCV) (2017)","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-023-01476-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-023-01476-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-023-01476-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T17:10:49Z","timestamp":1699290649000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-023-01476-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"references-count":75,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["1476"],"URL":"https:\/\/doi.org\/10.1007\/s00138-023-01476-1","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,20]]},"assertion":[{"value":"23 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 August 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 October 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"125"}}