QuadMOT: Multi-Object Tracking with Quadruplet Convolutional Neural Networks


Benchmark:

Short name:

QuadMOT

Detector:

Public

Description:

n/a

Project page / code:

n/a

Reference:

J. Son, M. Baek, M. Cho, B. Han. Multi-Object Tracking with Quadruplet Convolutional Neural Networks. In CVPR, 2017.

Processing:

Batch

Last submitted:

November 14, 2016 (3 years ago)

Published:

November 23, 2016 at 04:26:12 CET

Submissions:

2

Open source:

No

Hardware:

3 GHZ, 1 Core, TITAN X

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
2D MOT 201533.840.473.493.0266.07,89832,061703

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN ID Sw.
ADL-Rundle-113.635.674.05.08.03,2074,77356
ADL-Rundle-338.439.278.33.011.03025,91152
AVG-TownCentre30.849.469.841.071.01,1913,643111
ETH-Crossing33.453.077.72.015.0416270
ETH-Jelmoli42.355.475.68.013.03791,06519
ETH-Linthescher28.740.375.814.0124.02706,05638
KITTI-1638.349.971.60.03.021980129
KITTI-1933.847.968.25.013.01,0592,41760
PETS09-S2L249.028.872.67.03.06863,947285
TUD-Crossing72.159.874.56.00.0528815
Venice-131.835.772.92.05.05392,53338

Raw data:


QuadMOT