Multi-PN-Learning for Tracking Applications
| Type of publication: | Inproceedings |
| Citation: | Ven2014 |
| Publication status: | Accepted |
| Booktitle: | The 13th International Conference on Control, Automation, Robotics and Vision |
| Year: | 2014 |
| Note: | to appear |
| Abstract: | We present a general multi-target tracker able to simultaneously track, learn, and distinguish arbitrary objects in a single video stream and recognize them again after a temporal disappearance (reentering). We show how this tracker can be created as an extension of a general single-target tracker. Furthermore, we provide evidence that dissimilarities of tracked objects and relations in the learned knowledge can be exploited to improve individual tracking results. |
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