MOT Challenge

TSDA_OAL: Online Multi-Person Tracking with Two-Stage Data Association and Online Appearance Model Learning

TUD-Crossing

TUD-Crossing

PETS09-S2L2

ETH-Jelmoli

ETH-Linthescher

ETH-Crossing

AVG-TownCentre

ADL-Rundle-1

ADL-Rundle-3

KITTI-16

KITTI-19

Venice-1

Benchmark:

MOT15 |

Short name:

TSDA_OAL

Detector:

Public

Description:

n/a

Reference:

H. Ko. Online multi-person tracking with two-stage data association and online appearance model learning. In IET Computer Vision, 2017.

Last submitted:

January 17, 2016 (5 years ago)

Published:

January 08, 2016 at 09:32:23 CET

Submissions:

4

Project page / code:

n/a

Open source:

No

Hardware:

3.4GHz, 4 Core

Runtime:

19.7 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
MOT15	18.6	36.1	28.3	69.7	68 (9.4)	305 (42.3)	16,350	32,853	46.5	63.6	27.6	29.5	31.6	58.8	36.5	49.8	73.2	2.8	806 (17.3)	1,544 (33.2)

Detailed performance:

Sequence	MOTA	IDF1	HOTA	MOTP	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
ADL-Rundle-1	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
ADL-Rundle-3	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
AVG-TownCentre	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
ETH-Crossing	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
ETH-Jelmoli	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
ETH-Linthescher	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
KITTI-16	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
KITTI-19	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
PETS09-S2L2	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
TUD-Crossing	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0
Venice-1	0.0	0.0	0.0	0.0	0	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0	0

Raw data:

TSDA_OAL