SKT-MOT and DyTracker: A Multiobject Tracking Dataset and a Dynamic Tracker for Speed Skating Video

Table 4

Comparison with state-of-the-art MOT methods on the SKT-MOT dataset.

Method	Ref.	MOTA	IDF1	MOTP	FP	FN	IDSW	FPS
SST [7]	TPAMI2019	76.02	56.48	85.87	3,448	3,991	1427	4.2
JDE [9]	ECCV2020	79.87	72.91	78.31	2,983	4,943	812	13.2
LocalSORT [47]	JSS2021	83.14	76.82	82.43	2,365	4,352	624	11.8
FairMOT [10]	IJCV2021	86.53	76.51	85.71	1,359	4,308	557	16.4
ByteTrack [23]	ECCV2022	84.56	73.72	87.32	3,565	3,219	397	17.8
DeepSORT [6]	ICIP2017	81.78	77.61	81.24	2,955	4,363	735	9.3
DyTracker	This study	93.70	92.39	87.79	939	3,670	154	8.9

TBD methods use the same detection results. The best results are in bold.