RT Conference Proceedings
T1 Evaluation Framework for Crowd Behaviour Simulation and Analysis based on Real Videos and Scene Reconstruction
A1 Jablonski, Konrad
A1 Argyriou, Vasileios
A1 Greenhill, Darrel
A1 Velastin Carroza, Sergio Alejandro
AB Crowd simulation has been regarded as an important research topic in computer graphics, computer vision, and related areas. Various approaches have been proposed to simulate real life scenarios. In this paper, a novel framework that evaluates the accuracy and the realism of crowd simulation algorithms is presented. The framework is based on the concept of recreating real video scenes in 3D environments and applying crowd and pedestrian simulation algorithms to the agents using a plug-in architecture. The real videos are compared with recorded videos of the simulated scene and novel Human Visual System (HVS) based similarity features and metrics are introduced in order to compare and evaluate simulation methods. The experiments show that the proposed framework provides efficient methods to evaluate crowd and pedestrian simulation algorithms with high accuracy and low cost.
PB IEEE
SN 978-1-78561-280-0
YR 2017
FD 2017-01-23
LK https://hdl.handle.net/10016/28951
UL https://hdl.handle.net/10016/28951
LA eng
NO This paper has been presented at : 6th Latin-American Conference on Networked and Electronic Media (LACNEM 2015)
DS e-Archivo
RD 18 jul. 2024