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FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking ..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Ogawa, Takuya
;
Shibata, Takashi
;
Hosoi, Toshinori
- p. 6549-6558 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00643
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>FRoG-MOT: Fast and Robust Generic Multiple-Object Tracking by IoU and Motion-State Associations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10483947&Exemplar=1&LAN=DE A1 Ogawa, Takuya A1 Shibata, Takashi A1 Hosoi, Toshinori YR 2024 SN 2642-9381 K1 Deep learning K1 Computer vision K1 Target tracking K1 Correlation K1 Shape K1 Benchmark testing K1 Robustness K1 Algorithms K1 Video recognition and understanding K1 Machine learning architectures K1 formulations K1 and algorithms SP 6549 OP 6558 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00643 DO https://doi.org/10.1109/WACV57701.2024.00643 SF ELIB - SuUB Bremen
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