CRF_TRACK:

MOT16-14


Benchmark:

MOT16 |

Short name:

CRF_TRACK

Detector:

Public

Description:

Reference:

Jun xiang, Chao Ma, Guohan Xu, Jianhua Hou, End-to-End Learning Deep CRF models for Multi-Object Tracking. In IEEE Transactions on Circuits and Systems for Video Technology, 2020

Last submitted:

June 13, 2019 (1 year ago)

Published:

June 13, 2019 at 09:46:50 CET

Submissions:

1

Project page / code:

n/a

Open source:

Yes

Hardware:

Runtime:

1.5 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
MOT1650.354.474.8139 (18.3)271 (35.7)7,14882,74654.693.31.2702 (12.9)1,387 (25.4)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
MOT16-0147.962.573.21064642,85455.488.41.01245
MOT16-0356.956.074.931272,96741,81560.095.52.0309605
MOT16-0648.760.776.7431004385,41353.193.30.463128
MOT16-0748.251.373.59117207,64953.192.31.489184
MOT16-0836.648.575.916211,2379,29044.585.82.089153
MOT16-1246.557.477.518364054,00151.891.40.53451
MOT16-1431.043.371.6127091711,72436.688.11.2106221

Raw data:


CRF_TRACK