Visual Intersection Over Union Tracker


Short name:

V_IOU

Benchmark:

Description:

Extending IOU Based Multi-Object Tracking by Visual Information

Hardware:

3.4GHz, 1 Core

Detector:

Public

Processing:

Batch

Last submitted:

June 11, 2019 (5 months ago)

Published:

June 16, 2019 at 00:00:00 CET

Submissions:

1

Open source:

No

Project page / code:

Reference:

E. Bochinski, T. Senst, T. Sikora. Extending IOU Based Multi-Object Tracking by Visual Information. In IEEE International Conference on Advanced Video and Signals-based Surveillance, 2018.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
46.778.27.522.9 % 24.4 % 33,776261,9642,5894,3543.4GHz, 1 CorePublic
IDF1ID PrecisionID Recall
46.061.936.6

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
CVPR19-0462.355.481.20.969231.1 % 14.6 % 1,970117,0989441,290
CVPR19-0626.431.971.617.02639.9 % 36.5 % 17,11078,4879451,775
CVPR19-0753.650.575.92.511132.4 % 18.0 % 1,47413,682218334
CVPR19-0814.225.870.116.41905.8 % 46.8 % 13,22252,697482955

Raw data:

n/a


V_IOU