MOT Challenge

GCN_LP: Multiple Object Tracking by Link Prediction using Graph Convolution Networks

MOT17-01-DPM

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

MOT17-14-FRCNN

MOT17-01-SDP

MOT17-03-SDP

MOT17-06-SDP

MOT17-07-SDP

MOT17-08-SDP

MOT17-12-SDP

MOT17-14-SDP

Benchmark:

MOT17 |

Short name:

GCN_LP

Detector:

Public

Description:

Reference:

Last submitted:

November 21, 2020 (4 months ago)

Published:

November 25, 2020 at 14:06:22 CET

Submissions:

1

Project page / code:

https://github.com/mariusbock/master-thesis

Open source:

No

Hardware:

2.2GHz, 10 Cores, NVIDIA GeForce GTX 1080 Ti, 128GB RAM

Runtime:

0.7 Hz

Benchmark performance:

Sequence	MOTA	IDF1	HOTA	MOTP	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
MOT17	47.9	37.8	33.1	78.2	350 (14.9)	893 (37.9)	14,536	272,525	51.7	95.3	28.0	39.6	29.1	80.6	41.6	76.7	81.1	0.8	6,787 (131.3)	7,035 (136.1)

Detailed performance:

Sequence	MOTA	IDF1	HOTA	MOTP	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
MOT17-01-DPM	29.5	21.3	21.7	78.8	2	13	8	4,458	30.9	99.6	19.3	24.4	19.6	84.1	24.8	80.1	81.7	0.0	79	68
MOT17-01-FRCNN	26.5	29.6	28.8	76.6	6	8	1,359	3,305	48.8	69.8	25.6	32.9	26.7	79.5	40.0	57.2	79.1	3.0	74	62
MOT17-01-SDP	42.3	29.6	27.8	73.8	6	4	816	2,772	57.0	81.8	20.6	38.1	21.2	76.4	43.8	62.9	77.8	1.8	134	157
MOT17-03-DPM	52.5	34.8	31.1	80.2	26	29	143	48,542	53.6	99.7	22.9	42.5	23.7	83.2	43.8	81.4	82.8	0.1	1,076	1,231
MOT17-03-FRCNN	56.8	44.9	37.8	77.9	36	27	1,624	43,025	58.9	97.4	32.0	45.3	33.5	79.3	47.3	78.3	81.0	1.1	527	629
MOT17-03-SDP	72.3	47.2	41.3	77.7	66	14	1,162	27,032	74.2	98.5	30.5	56.5	31.5	79.7	59.0	78.4	80.8	0.8	839	1,096
MOT17-06-DPM	39.6	30.5	26.7	80.9	17	108	75	6,690	43.2	98.5	20.7	34.8	21.2	85.7	35.7	81.5	83.2	0.1	353	213
MOT17-06-FRCNN	51.8	46.8	38.8	78.9	39	63	357	5,032	57.3	95.0	34.1	44.3	35.3	81.8	46.7	77.4	81.6	0.3	296	248
MOT17-06-SDP	53.3	46.4	38.3	76.8	57	74	459	4,757	59.6	93.9	33.4	44.1	35.3	77.8	47.1	74.1	80.2	0.4	288	221
MOT17-07-DPM	29.6	19.5	16.1	79.9	2	27	61	11,555	31.6	98.9	10.3	25.2	10.5	83.1	25.7	80.6	82.6	0.1	285	256
MOT17-07-FRCNN	32.7	32.2	27.8	74.9	5	16	1,317	9,755	42.3	84.4	25.9	31.0	27.1	76.3	33.7	67.3	78.0	2.6	295	404
MOT17-07-SDP	45.3	32.6	29.4	75.7	10	17	766	8,161	51.7	91.9	23.1	37.9	23.9	76.4	40.5	72.1	79.1	1.5	309	322
MOT17-08-DPM	24.2	23.8	23.2	84.5	6	41	47	15,819	25.1	99.1	25.4	21.3	26.0	87.4	21.6	85.4	86.1	0.1	146	130
MOT17-08-FRCNN	22.3	27.2	26.0	80.1	6	41	774	15,533	26.5	87.8	32.4	21.0	33.5	83.5	22.0	73.0	82.4	1.2	116	119
MOT17-08-SDP	29.1	28.3	26.6	78.5	10	36	402	14,364	32.0	94.4	28.4	25.1	29.9	79.1	26.0	76.7	81.2	0.6	208	231
MOT17-12-DPM	41.5	42.9	36.9	83.1	9	47	28	4,981	42.5	99.2	38.6	35.3	39.7	84.5	36.1	84.3	85.1	0.0	63	49
MOT17-12-FRCNN	37.6	47.8	38.2	78.4	12	43	524	4,833	44.2	88.0	44.0	33.4	46.2	80.5	36.1	71.7	81.2	0.6	54	59
MOT17-12-SDP	42.7	51.5	41.2	78.6	19	38	582	4,319	50.2	88.2	45.7	37.3	47.6	80.0	40.7	71.5	81.5	0.6	62	56
MOT17-14-DPM	21.8	20.6	17.0	79.3	3	104	56	14,065	23.9	98.7	15.3	19.0	15.7	81.7	19.3	79.7	81.9	0.1	324	236
MOT17-14-FRCNN	16.4	22.3	19.3	71.5	7	80	2,432	12,371	33.1	71.5	16.5	24.0	17.3	69.1	26.7	57.7	74.6	3.2	656	662
MOT17-14-SDP	28.0	27.1	21.7	72.5	6	63	1,544	11,156	39.6	82.6	17.3	27.7	18.0	71.6	30.3	63.2	76.5	2.1	603	586

Raw data:

GCN_LP