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1 Ergebnisse
1
NanoTrack: An Enhanced MOT Method by Recycling Low-score De..:
, In:
Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition
,
Li, Weijia
;
Chen, Liyuan
;
Cai, Junzhi
... - p. 1-9 , 2024
Link:
https://dl.acm.org/doi/10.1145/3663976.3664008
RT T1 <cTitle>Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition</cTitle>: T1 <Title>NanoTrack: An Enhanced MOT Method by Recycling Low-score Detections from Light-weight Object Detector</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3664008&Exemplar=1&LAN=DE A1 Li, Weijia A1 Chen, Liyuan A1 Cai, Junzhi A1 Tong, Lihan A1 Chen, Erkang A1 Huang, Bin PB ACM YR 2024 K1 computer vision K1 light-weight object detector K1 multi-object tracking K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Tracking SP 1 OP 9 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3663976.3664008 DO https://dl.acm.org/doi/10.1145/3663976.3664008 SF ELIB - SuUB Bremen
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