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- Autor(en):
- Butenuth, M.; Burkert, F.; Kneidl, A.; Borrmann, A.; Schmidt, F.; Hinz, S.; Sirmacek, B.; Hartmann, D.
- Titel:
- Integrating pedestrian simulation, tracking and event detection for crowd analysis
- Abstract:
- In this paper, an overall framework for crowd analysis is presented. Detection and tracking of pedestrians as well as detection of dense crowds is performed on image sequences to improve simulation models of pedestrian flows. Additionally, graph-based event detection is performed by using Hidden Markov Models on pedestrian trajectories utilizing knowledge from simulations. Experimental results show the benefit of our integrated framework using simulation and real-world data for crowd analysis.
- Stichworte:
- Pedestrian Simulation, IMU, Sensor Tracking, Video Tracking, Event Detection
- Kongress- / Buchtitel:
- to appear in: Proceedings of 1st IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds
- Verlagsort:
- Barcelona, Spain
- Jahr:
- 2011
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