Benchmark:

MOT15 |

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 (9 years ago)

Published:

April 10, 2015 at 11:33:33 CET

Submissions:

3

Project page / code:

http://research.milanton.net/segtracking/

Open source:

Yes

Hardware:

2.7 GHz, 1 Core

Runtime:

0.2 Hz

Benchmark performance:

Detailed performance:

Raw data:

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