MOT Challenge

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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.

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

Benchmark:

MOT17 |

Short name:

LM_NN_17

Detector:

Public

Description:

n/a

Reference:

M. Babaee, Z. Li, G. Rigoll. A Dual CNN--RNN for Multiple People Tracking. In Neurocomputing, 2019.

Last submitted:

July 14, 2017 (6 years ago)

Published:

March 13, 2020 at 15:02:13 CET

Submissions:

Project page / code:

n/a

Open source:

Hardware:

3 GHZ, 1 Core

Runtime:

0.9 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	45.1	43.2	0.0	348 (14.8)	1,088 (46.2)	10,834	296,451	47.5	96.1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.6	2,286 (48.2)	2,463 (51.9)

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	25.4	30.8	0.0	4	11	568	4,194	35.0	79.9	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.3	48	47
MOT17-01-FRCNN	32.9	46.8	0.0	6	12	940	3,374	47.7	76.6	0.0	0.0	0.0	0.0	0.0	0.0	0.0	2.1	12	16
MOT17-01-SDP	45.1	45.9	0.0	6	9	301	3,212	50.2	91.5	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.7	29	27
MOT17-03-DPM	32.9	30.4	0.0	8	69	709	69,144	33.9	98.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5	334	334
MOT17-03-FRCNN	58.4	50.3	0.0	35	28	721	42,512	59.4	98.9	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5	294	310
MOT17-03-SDP	72.7	55.5	0.0	67	15	1,389	26,682	74.5	98.3	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.9	469	480
MOT17-06-DPM	38.8	44.2	0.0	20	134	104	7,043	40.2	97.9	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1	64	68
MOT17-06-FRCNN	49.7	52.9	0.0	42	106	208	5,651	52.0	96.7	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.2	63	89
MOT17-06-SDP	56.0	55.6	0.0	53	79	274	4,807	59.2	96.2	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.2	104	122
MOT17-07-DPM	27.9	27.6	0.0	4	36	265	11,821	30.0	95.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5	96	95
MOT17-07-FRCNN	34.4	35.0	0.0	5	19	760	10,183	39.7	89.8	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.5	138	166
MOT17-07-SDP	45.4	39.5	0.0	9	18	528	8,564	49.3	94.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.1	129	135
MOT17-08-DPM	23.4	27.3	0.0	7	44	426	15,696	25.7	92.7	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.7	60	47
MOT17-08-FRCNN	23.4	29.8	0.0	7	40	565	15,566	26.3	90.8	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.9	50	56
MOT17-08-SDP	30.9	34.6	0.0	14	36	208	14,299	32.3	97.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.3	86	86
MOT17-12-DPM	37.8	46.1	0.0	8	55	154	5,211	39.9	95.7	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.2	30	27
MOT17-12-FRCNN	39.4	51.5	0.0	11	47	168	5,069	41.5	95.5	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.2	19	23
MOT17-12-SDP	45.1	55.0	0.0	20	49	147	4,583	47.1	96.5	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.2	28	27
MOT17-14-DPM	16.8	22.5	0.0	4	122	97	15,231	17.6	97.1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1	46	48
MOT17-14-FRCNN	24.0	36.1	0.0	8	89	1,237	12,737	31.1	82.3	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.6	76	125
MOT17-14-SDP	34.8	42.1	0.0	10	70	1,065	10,872	41.2	87.7	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.4	111	135

Raw data:

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RTAT

LM_NN_17

AFN17

LM_NN_17: