Multi Object Tracking

ADL-Rundle-1 ADL-Rundle-3 Venice-1

Short name:

MOTT

Benchmark:

Description:

Hardware:

2.5 GHz, 1 Core

Detector:

Public

Processing:

Batch

Last submitted:

November 26, 2014 (4 years ago)

Published:

November 26, 2014 at 06:14:22 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

J. Yoon, H. Yang, J. Lim, K. Yoon. Bayesian Multi-Object Tracking Using Motion Context from Multiple Objects. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
12.770.74.913.8 % 26.6 % 7,77313,3642413862.5 GHz, 1 CorePublic
IDF1ID PrecisionID Recall
33.245.326.2

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
ADL-Rundle-10.00.00.00.0nan % nan % 0000
ADL-Rundle-30.00.00.00.0nan % nan % 0000
Venice-10.00.00.00.0nan % nan % 0000

Raw data:


MOTT