DCCRF:

TUD-Crossing


Benchmark:

Short name:

DCCRF

Detector:

Public

Description:

Reference:

H. Zhou, W. Ouyang, J. Cheng, X. Wang, H. Li. Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking. In IEEE Transactions on Circuits and Systems for Video Technology, 2018.

Last submitted:

June 26, 2017 (3 years ago)

Published:

April 12, 2018 at 08:22:16 CET

Submissions:

2

Project page / code:

n/a

Open source:

No

Hardware:

1*Titanx

Runtime:

0.1 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
2D MOT 201533.639.170.975 (10.4)271 (37.6)5,91734,00244.782.31.0866 (19.4)1,566 (35.1)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
ADL-Rundle-128.340.071.4391,3005,31242.975.42.659125
ADL-Rundle-338.739.373.23115535,60144.989.20.974103
AVG-TownCentre32.343.268.928667773,83146.481.01.7229395
ETH-Crossing22.929.374.32164571428.886.50.21415
ETH-Jelmoli43.561.772.49143741,04059.080.00.91949
ETH-Linthescher24.132.474.1141323096,38228.589.20.38597
KITTI-1642.054.172.52215581252.385.20.71937
KITTI-1926.145.465.65111,0882,79747.770.11.066236
PETS09-S2L245.629.969.6446644,33555.088.91.5245416
TUD-Crossing58.650.573.6319634069.188.80.52024
Venice-124.831.970.8255562,83837.875.61.23669

Raw data: