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Gasiorowski, Pawel, Vassilev, Vassil and Ouazzane, Karim (2016) Simulation-based visual analysis of individual and group dynamic behavior. In: World Congress in Computer Science, 25-28 July 2016, Las Vegas, USA.
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VV-11-Simulation_Based_Visual_Analysis.pdf - Accepted Version Download (2MB) | Preview |
Abstract / Description
The article presents a new framework for individual and group dynamic behavior analysis with wide applicability to video surveillance and security, accidents and safety management, customer insight and computer games. It combines graphical multi-agent simulation and motion pattern recognition for performing visual data analysis using an object-centric approach. The article describes the simulation model used for modeling the individual and group dynamics which is based on the analytical description of dynamic trajectories in closed micro-worlds and the individual and group behavior patterns exhibited by the agents in the visual scene. The simulator is implemented using 3D graphics tools and supports real-time event log analysis for pattern recognition and classification of the individual and group agent’s behavior.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Visual analytics, Behavior pattern recognition, Individual and group dynamics, Agent-based simulation, Ghosting, Ray casting |
| Subjects: | 000 Computer science, information & general works |
| Department: | School of Computing and Digital Media |
| Depositing User: | Vassil Vassilev |
| Date Deposited: | 09 Dec 2019 09:57 |
| Last Modified: | 09 Dec 2019 09:57 |
| URI: | https://repository.londonmet.ac.uk/id/eprint/5381 |
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