Simulation-based visual analysis of individual and group dynamic behavior

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.

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


Downloads per month over past year

Downloads each year

Actions (login required)

View Item View Item