MOT Challenge

MOT17-01-FRCNN

MOT17-01-DPM

MOT17-03-DPM

MOT17-06-DPM

MOT17-07-DPM

MOT17-08-DPM

MOT17-12-DPM

MOT17-14-DPM

MOT17-01-FRCNN

MOT17-03-FRCNN

MOT17-06-FRCNN

MOT17-07-FRCNN

MOT17-08-FRCNN

MOT17-12-FRCNN

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOT17 |

Short name:

AM_ADM17

Detector:

Public

Description:

n/a

Reference:

S. Lee, M. Kim, S. Bae, Learning Discriminative Appearance Models for Online Multi-Object Tracking with Appearance Discriminability Measures, In IEEE Access, 2018.

Last submitted:

September 18, 2018 (5 years ago)

Published:

September 27, 2018 at 05:58:34 CET

Submissions:

Project page / code:

n/a

Open source:

Hardware:

3.40GHZ, 1Core

Runtime:

5.7 Hz

Benchmark performance:

Sequence	MOTA	IDF1	HOTA	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
MOT17	48.1	52.1	40.5	316 (13.4)	934 (39.7)	25,061	265,495	52.9	92.3	42.0	39.5	45.1	73.8	42.1	73.4	79.8	1.4	2,214 (41.8)	5,027 (94.9)

Detailed performance:

Sequence	MOTA	IDF1	HOTA	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
MOT17-01-DPM	33.8	39.0	29.8	3	11	266	3,975	38.4	90.3	32.9	27.2	34.4	72.8	28.7	67.5	76.0	0.6	29	65
MOT17-01-FRCNN	26.3	43.8	37.1	6	8	1,554	3,176	50.8	67.8	42.1	33.1	45.5	75.2	41.3	55.1	78.7	3.5	24	48
MOT17-01-SDP	41.1	51.1	38.8	6	4	1,180	2,582	60.0	76.6	39.8	38.2	42.9	71.6	46.1	58.9	77.6	2.6	34	106
MOT17-03-DPM	52.5	53.4	39.7	32	29	2,634	46,845	55.2	95.6	38.8	40.8	40.5	77.3	43.0	74.5	79.6	1.8	227	721
MOT17-03-FRCNN	58.7	59.0	45.2	39	26	1,829	41,224	60.6	97.2	44.5	46.3	47.2	77.6	48.4	77.7	80.6	1.2	171	431
MOT17-03-SDP	74.7	69.2	54.3	72	14	1,242	25,078	76.0	98.5	50.8	58.2	53.8	77.0	60.9	78.9	81.2	0.8	166	524
MOT17-06-DPM	35.8	42.8	32.4	14	119	844	6,606	43.9	86.0	33.8	31.4	41.2	60.0	33.9	66.4	76.6	0.7	113	215
MOT17-06-FRCNN	44.0	51.8	40.4	26	85	1,064	5,435	53.9	85.6	41.1	39.9	51.2	60.0	44.0	70.0	80.1	0.9	99	195
MOT17-06-SDP	45.9	50.6	38.7	37	81	1,152	5,120	56.6	85.3	37.5	40.2	51.0	52.6	44.9	67.7	79.0	1.0	106	215
MOT17-07-DPM	33.0	37.2	28.2	5	25	1,278	9,918	41.3	84.5	26.9	30.0	29.8	61.3	32.2	65.9	75.7	2.6	127	309
MOT17-07-FRCNN	31.2	38.7	30.4	2	15	1,717	9,756	42.2	80.6	31.5	30.4	35.1	60.3	33.5	63.9	76.8	3.4	151	326
MOT17-07-SDP	43.5	44.9	34.8	9	17	1,074	8,351	50.6	88.8	33.1	37.0	37.5	58.4	39.9	70.0	78.2	2.1	117	295
MOT17-08-DPM	21.0	27.1	23.1	4	39	1,193	15,408	27.1	82.7	25.4	21.1	27.0	74.2	22.4	68.5	80.2	1.9	89	137
MOT17-08-FRCNN	22.4	28.7	26.2	6	40	871	15,452	26.9	86.7	32.8	21.1	34.2	79.7	22.2	71.8	81.8	1.4	75	102
MOT17-08-SDP	28.5	31.3	27.1	9	38	421	14,577	31.0	94.0	30.3	24.5	32.3	75.2	25.3	76.7	81.5	0.7	97	165
MOT17-12-DPM	36.1	50.3	38.4	13	43	797	4,686	45.9	83.3	44.4	33.3	47.3	72.4	36.7	66.6	78.9	0.9	55	69
MOT17-12-FRCNN	35.7	51.0	38.9	11	44	565	4,984	42.5	86.7	47.0	32.4	51.0	75.9	34.9	71.2	80.5	0.6	22	46
MOT17-12-SDP	40.8	55.3	42.7	14	43	577	4,528	47.8	87.8	51.3	35.7	54.5	77.8	38.8	71.3	81.3	0.6	30	49
MOT17-14-DPM	19.7	31.8	22.8	1	102	941	13,818	25.2	83.2	27.8	18.8	29.9	67.4	19.9	65.5	76.7	1.3	88	185
MOT17-14-FRCNN	16.5	31.9	25.0	5	82	2,602	12,594	31.9	69.4	28.0	22.9	32.1	55.4	25.7	55.9	74.3	3.5	234	446
MOT17-14-SDP	30.7	41.7	29.3	2	69	1,260	11,382	38.4	84.9	32.0	27.1	35.2	64.2	29.3	64.9	76.6	1.7	160	378

Raw data:

download

RTAT

AM_ADM17

AFN17

AM_ADM17: