QuadMOT: Multi-Object Tracking with Quadruplet Convolutional Neural Networks

TUD-Crossing


Benchmark:

MOT15 |

Short name:

QuadMOT

Detector:

Public

Description:

n/a

Reference:

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

Last submitted:

November 14, 2016 (4 years ago)

Published:

November 23, 2016 at 04:26:12 CET

Submissions:

2

Project page / code:

n/a

Open source:

No

Hardware:

3 GHZ, 1 Core, TITAN X

Runtime:

3.7 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
MOT1533.840.40.073.493 (12.9)266 (36.9)7,89832,06147.878.80.00.00.00.00.00.00.01.4703 (14.7)1,430 (29.9)

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-113.635.60.074.0583,2074,77348.758.60.00.00.00.00.00.00.06.456103
ADL-Rundle-338.439.20.078.33113025,91141.993.40.00.00.00.00.00.00.00.55260
AVG-TownCentre30.849.40.069.841711,1913,64349.074.60.00.00.00.00.00.00.02.6111409
ETH-Crossing33.453.00.077.72154162737.590.20.00.00.00.00.00.00.00.205
ETH-Jelmoli42.355.40.075.68133791,06558.079.50.00.00.00.00.00.00.00.91950
ETH-Linthescher28.740.30.075.8141242706,05632.291.40.00.00.00.00.00.00.00.23881
KITTI-1638.349.90.071.60321980152.980.40.00.00.00.00.00.00.01.02960
KITTI-1933.847.90.068.25131,0592,41754.873.40.00.00.00.00.00.00.01.060191
PETS09-S2L249.028.80.072.6736863,94759.189.20.00.00.00.00.00.00.01.6285380
TUD-Crossing72.159.80.074.560528873.999.40.00.00.00.00.00.00.00.01521
Venice-131.835.70.072.9255392,53344.579.00.00.00.00.00.00.00.01.23870

Raw data: