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2008
Conference Paper
Titel
Assessment and optimization of methods for tracking people in riot control scenarios
Abstract
If for a given application, candidate tracking methods for humans need to be selected and optimized, then relevant sensor and truth data as well as appropriate assessment criteria are required. In the work reported in this contribution we used data recently collected in a riot control scenario. We then processed the sensor data using a set of tracking methods from literature. Tracking results and truth data allowed us to deduce metrics that reflect the usefulness of a tracking method for the selected scenario. The software implementation of the assessment criteria, together with sensor and truth data, forms a benchmark for tracking algorithms in a riot control scenario. It can be used by developers to optimize their tracking systems and to demonstrate their usefulness for application in a riot control scenario. The performance and robustness of optimized tracking methods can considerably improve situational awareness in a riot control scenario.