KEYWORDS: Error control coding, Detection and tracking algorithms, Sensors, Data processing, Data acquisition, Control systems, Situational awareness sensors, Information security, Cameras, Unmanned aerial vehicles
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.
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