SegTrack: Joint Tracking and Segmentation of Multiple Targets

TUD-Crossing


Benchmark:

Short name:

SegTrack

Detector:

Public

Description:

We propose a multi-target tracker that exploits low level image
information and associates every (super)-pixel to a specific target or
classifies it as background. As a result, we obtain a video
segmentation in addition to the classical bounding-box representation in
unconstrained, real-world videos.

Reference:

A. Milan, L. Leal-Taixé, K. Schindler, I. Reid. Joint Tracking and Segmentation of Multiple Targets. In CVPR, 2015.

Last submitted:

April 10, 2015 (5 years ago)

Published:

April 10, 2015 at 11:33:33 CET

Submissions:

3

Open source:

Yes

Hardware:

2.7 GHz, 1 Core

Runtime:

0.2 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
2D MOT 201522.531.571.742 (5.8)461 (63.9)7,89039,02036.574.01.4697 (19.1)737 (20.2)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
ADL-Rundle-10.00.00.000000.00.00.000
ADL-Rundle-30.00.00.000000.00.00.000
AVG-TownCentre0.00.00.000000.00.00.000
ETH-Crossing0.00.00.000000.00.00.000
ETH-Jelmoli0.00.00.000000.00.00.000
ETH-Linthescher0.00.00.000000.00.00.000
KITTI-160.00.00.000000.00.00.000
KITTI-190.00.00.000000.00.00.000
PETS09-S2L20.00.00.000000.00.00.000
TUD-Crossing0.00.00.000000.00.00.000
Venice-10.00.00.000000.00.00.000

Raw data: