Publication: Evaluation Framework for Crowd Behaviour Simulation and Analysis based on Real Videos and Scene Reconstruction
Loading...
Identifiers
Publication date
2017-01-23
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Impact
Export
Abstract
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.
Description
This paper has been presented at : 6th Latin-American Conference on Networked and Electronic Media (LACNEM 2015)
Keywords
Vision for graphics, Motion, Tracking and video analysis, Cognitive and embodied vision, Crowd simulation
Bibliographic citation
Jablonski, K., Argyriou, V., Greenhill, D. y Velastin, S.A. (2015). Evaluation framework for crowd behaviour simulation and analysis based on real videos and scene reconstruction. In 6th Latin-American Conference on Networked and Electronic Media (LACNEM 2015).