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Augmentation of virtual agents in real crowd videos.

Augmentation of virtual agents in real crowd videos.

Authors :
Doğan, Yalım
Demirci, Serkan
Güdükbay, Uğur
Dibeklioğlu, Hamdi
Source :
Signal, Image & Video Processing; Jun2019, Vol. 13 Issue 4, p643-650, 8p
Publication Year :
2019

Abstract

Augmenting virtual agents in real crowd videos is an important task for different applications from simulations of social environments to modeling abnormalities in crowd behavior. We propose a framework for this task, namely for augmenting virtual agents in real crowd videos. We utilize pedestrian detection and tracking algorithms to automatically locate the pedestrians in video frames and project them into our simulated environment, where the navigable area of the simulated environment is available as a navigation mesh. We represent the real pedestrians in the video as simple three-dimensional (3D) models in our simulation environment. 3D models representing real agents and the augmented virtual agents are simulated using local path planning coupled with a collision avoidance algorithm. The virtual agents augmented into the real video move plausibly without colliding with static and dynamic obstacles, including other virtual agents and the real pedestrians. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18631703
Volume :
13
Issue :
4
Database :
Complementary Index
Journal :
Signal, Image & Video Processing
Publication Type :
Academic Journal
Accession number :
136223241
Full Text :
https://doi.org/10.1007/s11760-018-1392-8