VideoCube Evaluation Server (OPE Mechanism with Full Version)

Submit your tracking results on VideoCube to this website and evaluate the performance. Leaderboard will be updated immediately once the results are evaluated.

Tracker

Short Name:

TLD

Long Name:

TLD

Method Description:

n/a

Project Page:

https://github.com/zk00006/OpenTLD

Paper URL:

https://ieeexplore.ieee.org/document/6104061

Code URL:

https://github.com/zk00006/OpenTLD

Hardware:

Titan RTX

Language:

Python

Author:

Official

LaTex Bibtex:

@ARTICLE{6104061, author={Kalal, Zdenek and Mikolajczyk, Krystian and Matas, Jiri}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, title={Tracking-Learning-Detection}, year={2012}, volume={34}, number={7}, pages={1409-1422}, doi={10.1109/TPAMI.2011.239}}

Submissions (OPE Mechanism)

Submmition Count:

1 submissions.

Performance:

Method N-PRE PRE SRIoU SRDIoU SRGIoU Hz Hardware Language Date(UTC)↓ Reports
1 TLD 0.255 0.022 0.028 0.021 0.024 2.60 fps Titan RTX Python 2021-11-14, 07:05:34 reports.json