{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:52:08Z","timestamp":1775609528516,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["425401\/2018-9"],"award-info":[{"award-number":["425401\/2018-9"]}],"id":[{"id":"10.13039\/501100003593","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":[[2022,7]]},"DOI":"10.1007\/s00138-022-01323-9","type":"journal-article","created":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T19:04:36Z","timestamp":1657307076000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["3D pedestrian localization using multiple cameras: a generalizable approach"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1834-5221","authenticated-orcid":false,"given":"Jo\u00e3o Paulo","family":"Lima","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Roberto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucas","family":"Figueiredo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francisco","family":"Sim\u00f5es","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Thomas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hideaki","family":"Uchiyama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Veronica","family":"Teichrieb","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,8]]},"reference":[{"key":"1323_CR1","doi-asserted-by":"publisher","unstructured":"Baqu\u00e9, P., Fleuret, F., Fua, P.: Deep occlusion reasoning for multi-camera multi-target detection. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 271\u2013279 (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.38","DOI":"10.1109\/ICCV.2017.38"},{"key":"1323_CR2","doi-asserted-by":"publisher","unstructured":"Bertoni, L., Kreiss, S., Alahi, A.: Monoloco: Monocular 3d pedestrian localization and uncertainty estimation. In: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 6860\u20136870 (2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00696","DOI":"10.1109\/ICCV.2019.00696"},{"issue":"12","key":"1323_CR3","doi-asserted-by":"publisher","first-page":"2270","DOI":"10.1016\/j.dam.2007.10.015","volume":"156","author":"MR Cerioli","year":"2008","unstructured":"Cerioli, M.R., Faria, L., Ferreira, T.O., Martinhon, C.A., Protti, F., Reed, B.: Partition into cliques for cubic graphs: planar case, complexity and approximation. Discrete Appl. Math. 156(12), 2270\u20132278 (2008)","journal-title":"Discrete Appl. Math."},{"key":"1323_CR4","doi-asserted-by":"publisher","unstructured":"Chavdarova, T., Baqu\u00e9, P., Bouquet, S., Maksai, A., Jose, C., Bagautdinov, T., Lettry, L., Fua, P., Van Gool, L., Fleuret, F.: Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5030\u20135039 (2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00528","DOI":"10.1109\/CVPR.2018.00528"},{"key":"1323_CR5","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1007\/978-3-030-58580-8_32","volume-title":"Computer Vision\u2014ECCV 2020","author":"H Chen","year":"2020","unstructured":"Chen, H., Guo, P., Li, P., Lee, G.H., Chirikjian, G.: Multi-person 3d pose estimation in crowded scenes based on multi-view geometry. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M. (eds.) Computer Vision\u2014ECCV 2020, pp. 541\u2013557. Springer International Publishing, Cham (2020)"},{"key":"1323_CR6","doi-asserted-by":"publisher","unstructured":"Chen, Y., Tai, L., Sun, K., Li, M.: Monopair: Monocular 3d object detection using pairwise spatial relationships. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12090\u201312099 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.01211","DOI":"10.1109\/CVPR42600.2020.01211"},{"key":"1323_CR7","doi-asserted-by":"crossref","unstructured":"Grelier, C., Goudet, O., Hao, J.K.: On monte carlo tree search for weighted vertex coloring. In: European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar), pp. 1\u201316. Springer (2022)","DOI":"10.1007\/978-3-031-04148-8_1"},{"issue":"1","key":"1323_CR8","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1080\/19475683.2013.868826","volume":"20","author":"A Hackeloeer","year":"2014","unstructured":"Hackeloeer, A., Klasing, K., Krisp, J.M., Meng, L.: Georeferencing: a review of methods and applications. Annals GIS 20(1), 61\u201369 (2014). https:\/\/doi.org\/10.1080\/19475683.2013.868826","journal-title":"Annals GIS"},{"key":"1323_CR9","doi-asserted-by":"crossref","unstructured":"Hasan, I., Liao, S., Li, J., Akram, S.U., Shao, L.: Generalizable pedestrian detection: The elephant in the room. arXiv preprint arXiv:2003.08799 (2020)","DOI":"10.1109\/CVPR46437.2021.01117"},{"key":"1323_CR10","doi-asserted-by":"publisher","unstructured":"Hayakawa, J., Dariush, B.: Recognition and 3d localization of pedestrian actions from monocular video. In: 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), pp. 1\u20137 (2020). https:\/\/doi.org\/10.1109\/ITSC45102.2020.9294551","DOI":"10.1109\/ITSC45102.2020.9294551"},{"key":"1323_CR11","doi-asserted-by":"publisher","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask r-cnn. In: 2017 IEEE International Conference on Computer Vision (ICCV), pp. 2980\u20132988 (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.322","DOI":"10.1109\/ICCV.2017.322"},{"key":"1323_CR12","first-page":"1","volume-title":"Computer Vision\u2014ECCV 2020","author":"Y Hou","year":"2020","unstructured":"Hou, Y., Zheng, L., Gould, S.: Multiview detection with feature perspective transformation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M. (eds.) Computer Vision\u2014ECCV 2020, pp. 1\u201318. Springer International Publishing, Cham (2020)"},{"key":"1323_CR13","doi-asserted-by":"crossref","unstructured":"Iskakov, K., Burkov, E., Lempitsky, V., Malkov, Y.: Learnable triangulation of human pose. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 7718\u20137727 (2019)","DOI":"10.1109\/ICCV.2019.00781"},{"key":"1323_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1090\/conm\/352\/06369","volume":"352","author":"A Kosowski","year":"2004","unstructured":"Kosowski, A., Manuszewski, K.: Classical coloring of graphs. Contemp. Math. 352, 1\u201320 (2004)","journal-title":"Contemp. Math."},{"key":"1323_CR15","doi-asserted-by":"publisher","unstructured":"Li, J., Wang, C., Zhu, H., Mao, Y., Fang, H., Lu, C.: Crowdpose: Efficient crowded scenes pose estimation and a new benchmark. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10855\u201310864 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.01112","DOI":"10.1109\/CVPR.2019.01112"},{"key":"1323_CR16","doi-asserted-by":"crossref","unstructured":"Lima, J.P., Roberto, R., Figueiredo, L., Simoes, F., Teichrieb, V.: Generalizable multi-camera 3d pedestrian detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 1232\u20131240 (2021)","DOI":"10.1109\/CVPRW53098.2021.00135"},{"key":"1323_CR17","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision\u2014ECCV 2014","author":"TY Lin","year":"2014","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: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) Computer Vision\u2014ECCV 2014, pp. 740\u2013755. Springer International Publishing, Cham (2014)"},{"key":"1323_CR18","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1109\/TIP.2019.2938877","volume":"29","author":"W Liu","year":"2020","unstructured":"Liu, W., Liao, S., Hu, W.: Efficient single-stage pedestrian detector by asymptotic localization fitting and multi-scale context encoding. IEEE Trans. Image Proc. 29, 1413\u20131425 (2020). https:\/\/doi.org\/10.1109\/TIP.2019.2938877","journal-title":"IEEE Trans. Image Proc."},{"key":"1323_CR19","doi-asserted-by":"publisher","unstructured":"Liu, W., Liao, S., Ren, W., Hu, W., Yu, Y.: High-level semantic feature detection: a new perspective for pedestrian detection. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5182\u20135191 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.00533","DOI":"10.1109\/CVPR.2019.00533"},{"key":"1323_CR20","unstructured":"L\u00f3pez-Cifuentes, A., Escudero-Vi\u00f1olo, M., Besc\u00f3s, J., Carballeira, P.: Semantic driven multi-camera pedestrian detection. arXiv preprint arXiv:1812.10779 (2018)"},{"key":"1323_CR21","doi-asserted-by":"publisher","unstructured":"Lyra., V., de Andrade., I., Lima., J., Roberto., R., Figueiredo., L., Teixeira., J., Thomas., D., Uchiyama., H., Teichrieb., V.: Generalizable online 3d pedestrian tracking with multiple cameras. In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications\u2014Volume 5: VISAPP, pp. 820\u2013827. INSTICC, SciTePress (2022). https:\/\/doi.org\/10.5220\/0010842800003124","DOI":"10.5220\/0010842800003124"},{"key":"1323_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2020.105087","volume":"125","author":"B Nogueira","year":"2021","unstructured":"Nogueira, B., Tavares, E., Maciel, P.: Iterated local search with tabu search for the weighted vertex coloring problem. Comput. Oper. Res. 125, 105087 (2021)","journal-title":"Comput. Oper. Res."},{"key":"1323_CR23","doi-asserted-by":"publisher","unstructured":"Ong, J., Vo, B.T., Vo, B.N., Kim, D.Y., Nordholm, S.: A bayesian filter for multi-view 3d multi-object tracking with occlusion handling. IEEE Transactions on Pattern Analysis and Machine Intelligence pp. 1 (2020). https:\/\/doi.org\/10.1109\/TPAMI.2020.3034435","DOI":"10.1109\/TPAMI.2020.3034435"},{"key":"1323_CR24","unstructured":"Redmon, J., Farhadi, A.: Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"issue":"6","key":"1323_CR25","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2017). https:\/\/doi.org\/10.1109\/TPAMI.2016.2577031","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1323_CR26","unstructured":"Sovrasov, V., Sidnev, D.: Building computationally efficient and well-generalizing person re-identification models with metric learning. arXiv preprint arXiv:2003.07618 (2020)"},{"key":"1323_CR27","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.ins.2018.07.037","volume":"466","author":"W Sun","year":"2018","unstructured":"Sun, W., Hao, J.K., Lai, X., Wu, Q.: Adaptive feasible and infeasible tabu search for weighted vertex coloring. Inf. Sci. 466, 203\u2013219 (2018)","journal-title":"Inf. Sci."},{"key":"1323_CR28","doi-asserted-by":"publisher","unstructured":"Yang, L., Jiang, H., Huo, Z., Xiao, J.: Visual-gps: Ego-downward and ambient video based person location association. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 371\u2013380 (2019). https:\/\/doi.org\/10.1109\/CVPRW.2019.00050","DOI":"10.1109\/CVPRW.2019.00050"},{"key":"1323_CR29","unstructured":"You, Q., Jiang, H.: Real-time 3d deep multi-camera tracking. arXiv preprint arXiv:2003.11753 (2020)"},{"key":"1323_CR30","doi-asserted-by":"crossref","unstructured":"Zhou, K., Yang, Y., Cavallaro, A., Xiang, T.: Learning generalisable omni-scale representations for person re-identification. arXiv preprint arXiv:1910.06827 (2019)","DOI":"10.1109\/ICCV.2019.00380"},{"key":"1323_CR31","unstructured":"Zhu, C.: Multi-camera people detection and tracking (2019)"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-022-01323-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-022-01323-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-022-01323-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T18:18:38Z","timestamp":1658773118000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-022-01323-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":31,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,7]]}},"alternative-id":["1323"],"URL":"https:\/\/doi.org\/10.1007\/s00138-022-01323-9","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]},"assertion":[{"value":"16 September 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 July 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"61"}}