DEEPDA_MOT: Data association using deep network

TUD-Crossing


Benchmark:

Short name:

DEEPDA_MOT

Detector:

Public

Description:

Yoon, Kwangjin; Kim, Du Y.; Yoon, Young-Chul; Jeon, Moongu. 2019. "Data Association for Multi-Object Tracking via Deep Neural Networks." Sensors 19, no. 3: 559

Reference:

K. Yoon, D. Kim, Y. Yoon, M. Jeon. Data Association for Multi-Object Tracking via Deep Neural Networks. In Sensors, 2019.

Last submitted:

September 17, 2018 (1 year ago)

Published:

January 18, 2019 at 12:21:30 CET

Submissions:

4

Open source:

No

Hardware:

i7, 1080ti

Runtime:

172.8 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
2D MOT 201522.525.970.946 (6.4)447 (62.0)7,34639,09236.475.31.31,159 (31.9)1,538 (42.3)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
ADL-Rundle-10.00.00.000000.00.00.000
ADL-Rundle-30.00.00.000000.00.00.000
AVG-TownCentre0.00.00.000000.00.00.000
ETH-Crossing0.00.00.000000.00.00.000
ETH-Jelmoli0.00.00.000000.00.00.000
ETH-Linthescher0.00.00.000000.00.00.000
KITTI-160.00.00.000000.00.00.000
KITTI-190.00.00.000000.00.00.000
PETS09-S2L20.00.00.000000.00.00.000
TUD-Crossing0.00.00.000000.00.00.000
Venice-10.00.00.000000.00.00.000

Raw data: