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Automatic generation of scene-specific person trackers

: Holzbach, G.; Camp, Florian van de; Stiefelhagen, R.


Institute of Electrical and Electronics Engineers -IEEE-:
13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 : August 23-26, 2016 in Colorado Springs, Colorado
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-3811-4
ISBN: 978-1-5090-3812-1
International Conference on Advanced Video and Signal Based Surveillance (AVSS) <13, 2016, Colorado Springs/Colo.>
Workshop on Activity Monitoring by Multiple Distributed Sensing (AMMDS) <4, 2016, Colorado Springs/Colo.>
Conference Paper
Fraunhofer IOSB ()

The large variety of influencing factors requires the manual creation and optimization of person trackers for different environments as well as different views, such as in a distributed network of cameras. The manual creation and adjustments are time-consuming as well as prone to error and therefore expensive. We propose a system that uses basic computer-vision building blocks to automatically create and optimize a person tracker, using only a few annotated camera frames. An evaluation shows that our system creates target-oriented trackers from largely very basic methods, that can compare to manually, published person trackers. The system has the potential to drastically reduce the cost of creating person trackers for new environments and optimizing it for every single camera in a camera network.