{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T19:30:17Z","timestamp":1770060617227,"version":"3.49.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031915802","type":"print"},{"value":"9783031915819","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-91581-9_6","type":"book-chapter","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T11:23:58Z","timestamp":1748345038000},"page":"79-89","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Gr-IoU: Ground-Intersection over\u00a0Union for\u00a0Robust Multi-object Tracking with\u00a03D Geometric Constraints"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4873-3651","authenticated-orcid":false,"given":"Keisuke","family":"Toida","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3815-0829","authenticated-orcid":false,"given":"Naoki","family":"Kato","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2469-6098","authenticated-orcid":false,"given":"Osamu","family":"Segawa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4991-3383","authenticated-orcid":false,"given":"Takeshi","family":"Nakamura","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5675-8713","authenticated-orcid":false,"given":"Kazuhiro","family":"Hotta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"6_CR1","unstructured":"Aharon, N., Orfaig, R., Bobrovsky, B.Z.: Bot-sort: robust associations multi-pedestrian tracking. arXiv preprint arXiv:2206.14651 (2022)"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Bergmann, P., Meinhardt, T., Leal-Taixe, L.: Tracking without bells and whistles. In: 2019 IEEE\/CVF International Conference on Computer Vision (ICCV). IEEE, October 2019","DOI":"10.1109\/ICCV.2019.00103"},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2008\/246309","volume":"2008","author":"K Bernardin","year":"2008","unstructured":"Bernardin, K., Stiefelhagen, R.: Evaluating multiple object tracking performance: the clear mot metrics. EURASIP J. Image Video Process. 2008, 1\u201310 (2008)","journal-title":"EURASIP J. Image Video Process."},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Bewley, A., Ge, Z., Ott, L., Ramos, F., Upcroft, B.: Simple online and realtime tracking. In: 2016 IEEE International Conference on Image Processing (ICIP), pp. 3464\u20133468. IEEE (2016)","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Cao, J., Pang, J., Weng, X., Khirodkar, R., Kitani, K.: Observation-centric sort: rethinking sort for robust multi-object tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9686\u20139696 (2023)","DOI":"10.1109\/CVPR52729.2023.00934"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Chen, L., Ai, H., Zhuang, Z., Shang, C.: Real-time multiple people tracking with deeply learned candidate selection and person re-identification. In: 2018 IEEE international conference on multimedia and expo (ICME), pp.\u00a01\u20136. IEEE (2018)","DOI":"10.1109\/ICME.2018.8486597"},{"key":"6_CR7","unstructured":"Dendorfer, P., et al.: Mot20: a benchmark for multi object tracking in crowded scenes. arXiv preprint arXiv:2003.09003 (2020)"},{"key":"6_CR8","doi-asserted-by":"publisher","first-page":"8725","DOI":"10.1109\/TMM.2023.3240881","volume":"25","author":"Y Du","year":"2023","unstructured":"Du, Y., Zhao, Z., Song, Y., Zhao, Y., Su, F., Gong, T., Meng, H.: Strongsort: make deepsort great again. IEEE Trans. Multimed. 25, 8725\u20138737 (2023)","journal-title":"IEEE Trans. Multimed."},{"issue":"6","key":"6_CR9","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1145\/358669.358692","volume":"24","author":"MA Fischler","year":"1981","unstructured":"Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381\u2013395 (1981)","journal-title":"Commun. ACM"},{"key":"6_CR10","unstructured":"Ge, Z., Liu, S., Wang, F., Li, Z., Sun, J.: Yolox: exceeding yolo series in 2021. arXiv preprint arXiv:2107.08430 (2021)"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Kalman, R.E.: A new approach to linear filtering and prediction problems (1960)","DOI":"10.1115\/1.3662552"},{"issue":"1\u20132","key":"6_CR12","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"2","author":"HW Kuhn","year":"1955","unstructured":"Kuhn, H.W.: The Hungarian method for the assignment problem. Naval Res. Logistics Quart. 2(1\u20132), 83\u201397 (1955)","journal-title":"Naval Res. Logistics Quart."},{"key":"6_CR13","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)"},{"key":"6_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108619","volume":"127","author":"I Su\u00e1rez","year":"2022","unstructured":"Su\u00e1rez, I., Buenaposada, J.M., Baumela, L.: Elsed: enhanced line segment drawing. Pattern Recogn. 127, 108619 (2022)","journal-title":"Pattern Recogn."},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Wang, Y.H., Hsieh, J.W., Chen, P.Y., Chang, M.C., So, H.H., Li, X.: Smiletrack: similarity learning for occlusion-aware multiple object tracking. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a038, pp. 5740\u20135748 (2024)","DOI":"10.1609\/aaai.v38i6.28386"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zheng, L., Liu, Y., Wang, S.: Towards real-time multi-object tracking. In: The European Conference on Computer Vision (ECCV) (2020)","DOI":"10.1007\/978-3-030-58621-8_7"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Wojke, N., Bewley, A., Paulus, D.: Simple online and realtime tracking with a deep association metric. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 3645\u20133649. IEEE (2017)","DOI":"10.1109\/ICIP.2017.8296962"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Zhang, Y., et al.: Bytetrack: multi-object tracking by associating every detection box. In: European Conference on Computer Vision, pp. 1\u201321. Springer (2022)","DOI":"10.1007\/978-3-031-20047-2_1"},{"key":"6_CR19","doi-asserted-by":"publisher","first-page":"3069","DOI":"10.1007\/s11263-021-01513-4","volume":"129","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Wang, C., Wang, X., Zeng, W., Liu, W.: Fairmot: on the fairness of detection and re-identification in multiple object tracking. Int. J. Comput. Vision 129, 3069\u20133087 (2021)","journal-title":"Int. J. Comput. Vision"},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Zhou, X., Koltun, V., Kr\u00e4henb\u00fchl, P.: Tracking objects as points. In: European Conference on Computer Vision, pp. 474\u2013490. Springer (2020)","DOI":"10.1007\/978-3-030-58548-8_28"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-91581-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T16:28:46Z","timestamp":1757176126000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-91581-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031915802","9783031915819"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-91581-9_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"12 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}