Multi-Object Tracking on MOT Challenge (test) benchmark leaderboard · SOTA2 Research

Multi-Object Tracking on MOT Challenge (test)

7,318False Positives (FP)SORT

Evaluation Results

Method	Links
SORT2016.02		7,318	32,615	33.4	72.1	11.7	30.9	1,001	1,764	1.3
NOMT2015.04		7,762	32,547	33.7	71.9	12.2	44	442	823	—
NOMT2016.02		7,762	32,547	33.7	71.9	12.2	44	442	823	1.3
SMOT2016.02		8,780	40,310	18.2	71.2	2.8	54.8	1,148	2,132	1.5
ALEXTRAC2016.02		9,233	39,933	17	71.2	3.9	52.4	1,859	1,872	1.6
MDP2016.02		9,717	32,422	30.3	71.3	13	38.4	680	1,500	1.7
TDAM2016.02		10,064	30,617	33	72.8	13.3	39.1	464	1,506	1.7
HM2015.04		11,162	33,187	26.7	71.5	11.2	47.9	669	916	—
RMOT2015.04		12,473	36,835	18.6	69.6	5.3	53.3	684	1,282	—
RMOT2016.02		12,473	36,835	18.6	69.6	5.3	53.3	684	1,282	2.2
TC_ODAL2016.02		12,970	38,538	15.1	70.5	3.2	55.8	637	1,716	2.2
DP2015.04		13,171	34,814	14.5	70.8	6	40.8	4,537	3,090	—
DP_NMS2016.02		13,171	34,814	14.5	70.8	6	40.8	4,537	3,090	2.3
CEM2015.04		14,180	34,591	19.3	70.7	8.5	46.5	813	1,023	—
TBD2015.04		14,943	34,777	15.9	70.9	6.4	47.9	1,939	1,963	—
TBD2016.02		14,943	34,777	15.9	70.9	6.4	47.9	1,939	1,963	2.6