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Yalım Doğan, Serkan Demirci, Uğur Güdükbay, and Hamdi Dibeklioğlu. Augmentation of Virtual Agents in Real Crowd Videos. Signal, Image and Video Processing, 13(4):643–650, June 2019.
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.
@Article{Dogan2018,
author = {Yal{\i}m Do{\^g}an and Serkan Demirci and U{\^g}ur G{\"u}d{\"u}kbay and Hamdi Dibeklio{\^g}lu},
title = {Augmentation of Virtual Agents in Real Crowd Videos},
journal = {Signal, Image and Video Processing},
volume = {13},
number = {4},
pages = {643-650},
year = {2019},
month = {June},
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.},
issn = {1863-1711},
bib2html_dl_pdf = {http://www.cs.bilkent.edu.tr/~gudukbay/publications/papers/journal_articles/Dogan_Et_Al_SIVP_2019.pdf},
bib2html_pubtype = {Refereed Journal Articles},
bib2html_rescat = {Computer Graphics}
}
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