{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T00:59:10Z","timestamp":1755219550045,"version":"3.43.0"},"reference-count":60,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T00:00:00Z","timestamp":1750550400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T00:00:00Z","timestamp":1750550400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,22]]},"DOI":"10.1109\/iv64158.2025.11097547","type":"proceedings-article","created":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T17:54:55Z","timestamp":1754502895000},"page":"179-186","source":"Crossref","is-referenced-by-count":0,"title":["MonoSORT3D: A Monocular Approach for Online Auxiliary-Free Multi-Object Tracking"],"prefix":"10.1109","author":[{"given":"Rana","family":"Khonsari","sequence":"first","affiliation":[{"name":"Porsche Engineering Group GmbH,Department of Artificial Intelligence &#x0026; Big Data,Weissach,Germany,71287"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leon","family":"Eisemann","sequence":"additional","affiliation":[{"name":"Porsche Engineering Group GmbH,Department of Artificial Intelligence &#x0026; Big Data,Weissach,Germany,71287"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Igor","family":"Vozniak","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence (DFKI) GmbH,Saarbruecken,Germany,66123"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence (DFKI) GmbH,Saarbruecken,Germany,66123"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes","family":"Maucher","sequence":"additional","affiliation":[{"name":"Institute for Applied Artificial Intelligence, at Stuttgart Media University,Stuttgart,Germany,70569"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC57777.2023.10422676"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/icip.2016.7533003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1109\/ICIP.2017.8296962","volume-title":"Simple online and realtime tracking with a deep association metric","author":"Wojke","year":"2017"},{"volume-title":"Bytetrack: Multi-object tracking by associating every detection box","year":"2022","author":"Zhang","key":"ref5"},{"key":"ref6","article-title":"Bot-sort: Robust asso-ciations multi-pedestrian tracking","author":"Aharon","year":"2022","journal-title":"arXiv preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3613460"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58548-8_28","volume-title":"Tracking objects as points","author":"Zhou","year":"2020"},{"volume-title":"Observation-centric sort: Rethinking sort for robust multi-object tracking","year":"2023","author":"Cao","key":"ref9"},{"volume-title":"Bot-sort: Robust associations multi-pedestrian tracking","year":"2022","author":"Aharon","key":"ref10"},{"volume-title":"Deft: Detection embeddings for tracking","year":"2021","author":"Chaabane","key":"ref11"},{"volume-title":"Monocular quasi-dense 3d object tracking","year":"2021","author":"Hu","key":"ref12"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV51070.2023.00636","volume-title":"Delving into motion-aware matching for monocular 3d object tracking","author":"Huang","year":"2023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw56347.2022.00496"},{"volume-title":"3d multi-object tracking: A baseline and new evaluation metrics","year":"2020","author":"Weng","key":"ref15"},{"key":"ref16","article-title":"Mctrack: A unified 3d multi-object tracking framework for autonomous driving","author":"Wang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2024.109544"},{"key":"ref18","article-title":"Lego: Learning and graph-optimized modular tracker for online multi-object tracking with point clouds","author":"Zhang","year":"2023","journal-title":"arXiv preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2025.3581980"},{"volume-title":"Monodetr: Depth-guided transformer for monocular 3d object detection","year":"2023","author":"Zhang","key":"ref20"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR46437.2021.00469","volume-title":"Delving into localization errors for monocular 3d object detection","author":"Ma","year":"2021"},{"volume-title":"Fcos3d: Fully convolutional one-stage monocular 3d object detection","year":"2021","author":"Wang","key":"ref22"},{"volume-title":"Probabilistic and geometric depth: Detecting objects in perspective","year":"2021","author":"Wang","key":"ref23"},{"volume-title":"Objects are different: Flexible monocular 3d object detection","year":"2021","author":"Zhang","key":"ref24"},{"volume-title":"Geometry-based distance decomposition for monocular 3d object detection","year":"2022","author":"Shi","key":"ref25"},{"volume-title":"Smoke: Single-stage monocular 3d object detection via keypoint estimation","year":"2020","author":"Liu","key":"ref26"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV48922.2021.00310","volume-title":"Geometry uncertainty projection network for monocular 3d object detection","author":"Lu","year":"2021"},{"volume-title":"Monocd: Monocular 3d object detection with complementary depths","year":"2024","author":"Yan","key":"ref28"},{"volume-title":"Monodtr: Monocular 3d object detection with depth-aware transformer","year":"2022","author":"Huang","key":"ref29"},{"volume-title":"Bevformer: Learning bird\u2019s-eye-view representation from multi-camera images via spatiotemporal transformers","year":"2022","author":"Li","key":"ref30"},{"volume-title":"Petr: Position embedding transformation for multi-view 3d object detection","year":"2022","author":"Liu","key":"ref31"},{"volume-title":"Detr3d: 3d object detection from multi-view images via 3d-to-2d queries","year":"2021","author":"Wang","key":"ref32"},{"volume-title":"Monoatt: Online monocular 3d object detection with adaptive token transformer","year":"2023","author":"Zhou","key":"ref33"},{"volume-title":"Multiple object tracking by flowing and fusing","year":"2020","author":"Zhang","key":"ref34"},{"volume-title":"Motiontrack: Learning motion predictor for multiple object tracking","year":"2024","author":"Xiao","key":"ref35"},{"volume-title":"Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction","year":"2024","author":"Lv","key":"ref36"},{"volume-title":"Diffusiontrack: Diffusion model for multi-object tracking","year":"2024","author":"Luo","key":"ref37"},{"volume-title":"Centernet: Keypoint triplets for object detection","year":"2019","author":"Duan","key":"ref38"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_7"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01513-4"},{"volume-title":"Time3d: End-to-end joint monocular 3d object detection and tracking for autonomous driving","year":"2022","author":"Li","key":"ref41"},{"volume-title":"Mutr3d: A multi-camera tracking framework via 3d-to-2d queries","year":"2022","author":"Zhang","key":"ref42"},{"volume-title":"Motr: End-to-end multiple-object tracking with transformer","year":"2022","author":"Zeng","key":"ref43"},{"volume-title":"Learning transferable visual models from natural language supervision","year":"2021","author":"Radford","key":"ref44"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"volume-title":"Qdtrack: Quasidense similarity learning for appearance-only multiple object tracking","year":"2023","author":"Fischer","key":"ref46"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3203163"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02074"},{"key":"ref49","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR46437.2021.01161","volume-title":"Center-based 3d object detection and tracking","author":"Yin","year":"2021"},{"key":"ref50","article-title":"Object perma-nence emerges in a random walk along memory","author":"Tokmakov","year":"2022","journal-title":"arXiv preprint"},{"key":"ref51","article-title":"Mot16: A benchmark fors multi-object tracking","author":"Milan","year":"2016","journal-title":"arXiv preprint"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/246309"},{"volume-title":"Trackformer: Multi-object tracking with transformers","year":"2022","author":"Meinhardt","key":"ref53"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP51287.2024.10647729"},{"key":"ref55","doi-asserted-by":"crossref","DOI":"10.1109\/WACV56688.2023.00478","volume-title":"Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space","author":"Yang","year":"2023"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587597"},{"volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","year":"2016","author":"Ren","key":"ref57"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.234"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"}],"event":{"name":"2025 IEEE Intelligent Vehicles Symposium (IV)","start":{"date-parts":[[2025,6,22]]},"location":"Cluj-Napoca, Romania","end":{"date-parts":[[2025,6,25]]}},"container-title":["2025 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11097351\/11097337\/11097547.pdf?arnumber=11097547","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T04:59:00Z","timestamp":1754542740000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11097547\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,22]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/iv64158.2025.11097547","relation":{},"subject":[],"published":{"date-parts":[[2025,6,22]]}}}