@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@COMMENT This file came from Patrick Riley's publication pages at
@COMMENT http://www.cs.cmu.edu/~pfr/publications
@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}
}