{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T05:45:16Z","timestamp":1743486316711,"version":"3.38.0"},"reference-count":47,"publisher":"Tech Science Press","issue":"1","license":[{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"vor","delay-in-days":293,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.056824","type":"journal-article","created":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T08:38:58Z","timestamp":1728117538000},"page":"1449-1470","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":1,"title":["LQTTrack: Multi-Object Tracking by Focusing on Low-Quality Targets Association"],"prefix":"10.32604","volume":"81","author":[{"given":"Suya","family":"Li","sequence":"first","affiliation":[]},{"given":"Ying","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Hengyi","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Dongsheng","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Xie","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"5497","DOI":"10.1109\/TNNLS.2021.3136907","article-title":"Deep learning in visual tracking: A review","volume":"34","author":"Jiao","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"43439","DOI":"10.1007\/s11042-023-17297-3","article-title":"Multi-object tracking: A systematic literature review","volume":"83","author":"Hassan","year":"2024","journal-title":"Multimed. Tools Appl."},{"key":"ref3","series-title":"2016 IEEE Int. Conf. Image Process.","first-page":"3464","article-title":"Simple online and realtime tracking","author":"Bewley","year":"2016"},{"key":"ref4","series-title":"2017 IEEE Int. Conf. Image Process.","first-page":"3645","article-title":"Simple online and realtime tracking with a deep association metric","author":"Wojke","year":"2017"},{"key":"ref5","series-title":"Comput. Vis.\u2013 European Conf. Comput. Vis. (ECCV) 2022","first-page":"1","article-title":"ByteTrack: Multi object tracking by associating every detection box","author":"Zhang","year":"2022"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"8725","DOI":"10.1109\/TMM.2023.3240881","article-title":"StrongSORT: Make deepsort great again","volume":"25","author":"Du","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"ref7","series-title":"Eur. Conf. Comput. Vis. 2020","first-page":"145","article-title":"Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking","author":"Peng","year":"2020"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"3069","DOI":"10.1007\/s11263-021-01513-4","article-title":"FairMOT: On the fairness of detection and re-identification in multiple object tracking","volume":"129","author":"Zhang","year":"2021","journal-title":"Int. J. Comput. Vision."},{"unstructured":"N. Aharon, R. Orfaig, and B. -Z. Bobrovsky, \u201cBoT-SORT: Robust associations multi-pedestrian tracking,\u201d 2022, arXiv:2206.14651.","key":"ref9"},{"key":"ref10","series-title":"2023 IEEE Int. Conf. Image Process. (ICIP)","first-page":"3025","article-title":"Deep OC-SORT: Multi-pedestrian tracking by adaptive re-identification","author":"Maggiolino","year":"2023"},{"key":"ref11","series-title":"Proc. IEEE Int. Conf. Comput. Vis.","first-page":"4696","article-title":"Multiple hypothesis tracking revisited","author":"Kim","year":"2015"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"3660","DOI":"10.1109\/TCSVT.2018.2881123","article-title":"Iterative multiple hypothesis tracking with tracklet-level association","volume":"29","author":"Sheng","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref13","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"2117","article-title":"Feature pyramid networks for object detection","author":"Lin","year":"2017"},{"unstructured":"J. Wang, C. Xu, W. Yang, and L. Yu, \u201cA normalized gaussian wasserstein distance for tiny object detection,\u201d 2021, arXiv:2110.13389.","key":"ref14"},{"unstructured":"Y. Xu, Y. Ban, G. Delorme, C. Gan, D. Rus and X. Alameda-Pineda, \u201cTransCenter: Transformers with dense queries for multiple-object tracking,\u201d 2021, arXiv:2103.15145.","key":"ref15"},{"key":"ref16","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit","first-page":"9686","article-title":"Observation-centric SORT: Rethinking sort for robust multi-object tracking","author":"Cao","year":"2023"},{"unstructured":"A. Milan, L. Leal-Taix\u00e9, I. Reid, S. Roth, and K. Schindler, \u201cMOT16: A benchmark for multi-object tracking,\u201d 2016, arXiv:1603.00831.","key":"ref17"},{"unstructured":"P. Dendorfer et al., \u201cMOT20: A benchmark for multi object tracking in crowded scenes,\u201d 2020, arXiv:2003.09003.","key":"ref18"},{"key":"ref19","series-title":"2022 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"20961","article-title":"DanceTrack: Multi-object tracking in uniform appearance and diverse motion","author":"Sun","year":"2022"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1016\/j.displa.2022.102317","article-title":"A survey of detection-based video multi-object tracking","volume":"75","author":"Dai","year":"2022","journal-title":"Displays"},{"key":"ref21","series-title":"Comput. Vis.\u2013ECCV 2022 Workshops, Tel Aviv","first-page":"680","article-title":"SimpleTrack: Understanding and rethinking 3D multi-object tracking","author":"Pang","year":"2022"},{"key":"ref22","series-title":"2019 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW)","first-page":"1487","article-title":"Bag of tricks and a strong baseline for deep person re-identification","author":"Luo","year":"2019"},{"key":"ref23","series-title":"2019 IEEE\/CVF Int. Conf. Comput. Vis. (ICCV)","first-page":"3701","article-title":"Omni-scale feature learning for person re-identification","author":"Zhou","year":"2019"},{"key":"ref24","series-title":"2023 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"13813","article-title":"Simple cues lead to a strong multi-object tracker","author":"Seidenschwarz","year":"2023"},{"key":"ref25","series-title":"2022 IEEE\/CVF Winter Conf. Appl. Comput. Vis. (WACV)","first-page":"133","article-title":"Modelling ambiguous assignments for multi-person tracking in crowds","author":"Stadler","year":"2022"},{"key":"ref26","series-title":"Proc. AAAI Conf. Artif. Intell.","first-page":"6702","article-title":"UCMCTrack: Multi-object tracking with uniform camera motion compensation","author":"Yi","year":"2024"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1992","DOI":"10.1109\/TPAMI.2022.3168781","article-title":"Monocular quasi-dense 3D object tracking","volume":"45","author":"Hu","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref28","doi-asserted-by":"crossref","first-page":"15380","DOI":"10.1109\/TPAMI.2023.3301975","article-title":"QDTrack: Quasi-dense similarity learning for appearance-only multiple object tracking","volume":"45","author":"Fischer","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref29","doi-asserted-by":"crossref","first-page":"65238","DOI":"10.1109\/ACCESS.2023.3283411","article-title":"Toward real-time UAV multi-target tracking using joint detection and tracking","volume":"11","author":"Keawboontan","year":"2023","journal-title":"IEEE Access"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2024.103957","article-title":"Transformer-based assignment decision network for multiple object tracking","volume":"241","author":"Psalta","year":"2024","journal-title":"Comput. Vis. Image Understanding"},{"key":"ref31","series-title":"2023 IEEE\/CVF Winter Conf. Appl. Comput. Vis. (WACV)","first-page":"4839","article-title":"Detection recovery in online multi-object tracking with sparse graph tracker","author":"Hyun","year":"2023"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"3460","DOI":"10.1109\/TSP.2013.2259822","article-title":"Labeled random finite sets and multi-object conjugate priors","volume":"61","author":"Vo","year":"2013","journal-title":"IEEE Trans. Signal Process"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"43364","DOI":"10.1109\/ACCESS.2021.3066629","article-title":"Resolvable cluster target tracking based on the DBSCAN clustering algorithm and labeled RFS","volume":"9","author":"Xue","year":"2021","journal-title":"IEEE Access"},{"key":"ref34","article-title":"Visual multi-object tracking with re-identification and occlusion handling using labeled random finite sets","volume":"156","author":"Ma","year":"2024","journal-title":"Pattern Recognit."},{"key":"ref35","series-title":"2019 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"658","article-title":"Generalized intersection over union: A metric and a loss for bounding box regression","author":"Rezatofighi","year":"2019"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"7746","DOI":"10.1109\/TCSVT.2022.3182709","article-title":"MOTFR: Multiple object tracking based on feature recoding","volume":"32","author":"Kong","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref37","doi-asserted-by":"crossref","first-page":"1540","DOI":"10.1109\/TCSVT.2020.3005662","article-title":"Near-online multi-pedestrian tracking via combining multiple consistent appearance cues","volume":"31","author":"Feng","year":"2021","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref38","series-title":"2022 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW)","first-page":"2735","article-title":"ResNeSt: Split-attention networks","author":"Zhang","year":"2022"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.isprsjprs.2022.06.002","article-title":"Detecting tiny objects in aerial images: A normalized wasserstein distance and a new benchmark","volume":"190","author":"Xu","year":"2022","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref40","series-title":"IEEE Trans. Multimed.","first-page":"2686","article-title":"RelationTrack: Relation-aware multiple object tracking with decoupled representation","volume":"25","author":"Yu","year":"2023"},{"key":"ref41","series-title":"2021 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"3875","article-title":"Multiple object tracking with correlation learning","author":"Wang","year":"2021"},{"key":"ref42","series-title":"2023 IEEE\/CVF Winter Conf. Appl. Comput. Vis. (WACV)","first-page":"4859","article-title":"TransMOT: Spatial-temporal graph transformer for multiple object tracking","author":"Chu","year":"2023"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2008\/246309","article-title":"Evaluating multiple object tracking performance: The clear mot metrics","volume":"2008","author":"Bernardin","year":"2008","journal-title":"EURASIP J. Image Video Process"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1007\/s11263-020-01375-2","article-title":"HOTA: A higher order metric for evaluating multi-object tracking","volume":"129","author":"Luiten","year":"2021","journal-title":"Int. J. Comput. Vision."},{"key":"ref45","series-title":"Comput. Vis.\u2013ECCV 2016 Workshops","first-page":"17","article-title":"Performance measures and a data set for multi-target, multi-camera tracking","author":"Ristani","year":"2016"},{"unstructured":"L. He, X. Liao, W. Liu, X. Liu, P. Cheng and T. Mei, \u201cFastReID: A pytorch toolbox for general instance re-identification,\u201d 2020, arXiv:2006.02631.","key":"ref46"},{"key":"ref47","series-title":"Comput. Vis.\u2013ECCV 2020","first-page":"474","article-title":"Tracking objects as points","author":"Zhou","year":"2020"}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-81-1\/TSP_CMC_56824\/TSP_CMC_56824.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T03:04:45Z","timestamp":1741316685000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v81n1\/58373"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.056824","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-07-31","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-09-18","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-10-15","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}