Benchmark:

MOT15 |

Short name:

DCO_X

Detector:

Public

Description:

We formulate multi-target tracking as a discrete-continuous optimization problem that handles both data association and trajectory estimation in its respective natural domain and allows leveraging powerful methods for multi-model fitting. Data association is performed using discrete optimization with label costs, yielding near optimality. Trajectory estimation is posed as a continuous fitting problem which is used in turn to update the label costs.

Reference:

A. Milan, K. Schindler, S. Roth. Multi-Target Tracking by Discrete-Continuous Energy Minimization. In IEEE PAMI, 2016.

Last submitted:

June 02, 2015 (7 years ago)

Published:

July 28, 2015 at 17:01:02 CET

Submissions:

2

Project page / code:

http://www.milanton.de/dctracking/

Open source:

Yes

Hardware:

2.7 GHz, 1 Core

Runtime:

0.3 Hz

Benchmark performance:

Detailed performance:

Raw data:

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