[BibTeX] [RIS]
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.
Authors van de Ven, Jasper
Kreutzmann, Arne
Schrader, Sascha
Dylla, Frank