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10 May 2017 Synthetic depth data creation for sensor setup planning and evaluation of multi-camera multi-person trackers
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Abstract
Tracking people with cameras in public areas is common today. However with an increasing number of cameras it becomes harder and harder to view the data manually. Especially in safety critical areas automatic image exploitation could help to solve this problem. Setting up such a system can however be difficult because of its increased complexity. Sensor placement is critical to ensure that people are detected and tracked reliably. We try to solve this problem using a simulation framework that is able to simulate different camera setups in the desired environment including animated characters. We combine this framework with our self developed distributed and scalable system for people tracking to test its effectiveness and can show the results of the tracking system in real time in the simulated environment.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marco Pattke, Manuel Martin, and Michael Voit "Synthetic depth data creation for sensor setup planning and evaluation of multi-camera multi-person trackers", Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 102190X (10 May 2017); https://doi.org/10.1117/12.2262374
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