Populating virtual cities using social media

Bulbul, Abdullah; Dahyot, Rozenn

doi:10.1002/cav.1742

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…Other directions of our research investigate how social networks, online information, game engines and virtual reality technologies can be used together for creating new interactive, immersive and more human experience online. Indeed geolocated social network users can be used to place avatars [34] , to animate them and to populate the virtual cities with realistic displacement patterns, for providing human interactions in the context of a virtual visit or a gaming experience (e.g., Fig. 14 ).…”

Section: Discussionmentioning

confidence: 99%

Social media based 3D visual popularity

Bulbul

Dahyot

2017

Computers & Graphics

Self Cite

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Section: Discussionmentioning

confidence: 99%

Social media based 3D visual popularity

Bulbul

Dahyot

2017

Computers & Graphics

Self Cite

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“…In particular, by sketching arrows in the environment, the user can define and change agent trajectories as in Figure 14, which further facilitates the emergence of behaviours such as lane formation. A data‐driven approach implemented by Bulbul and Dahyot [BD17] produces flows of pedestrians for environments based on real cities. Their system uses geo‐located information from social media that reflects the spatial and temporal distribution of people over the city.…”

Section: Path‐planningmentioning

confidence: 99%

Authoring Virtual Crowds: A Survey

Lemonari

Blanco

Charalambous

et al. 2022

Computer Graphics Forum

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Recent advancements in crowd simulation unravel a wide range of functionalities for virtual agents, delivering highly-realistic, natural virtual crowds. Such systems are of particular importance to a variety of applications in fields such as: entertainment (e.g., movies, computer games); architectural and urban planning; and simulations for sports and training. However, providing their capabilities to untrained users necessitates the development of authoring frameworks. Authoring virtual crowds is a complex and multi-level task, varying from assuming control and assisting users to realise their creative intents, to delivering intuitive and easy to use interfaces, facilitating such control. In this paper, we present a categorisation of the authorable crowd simulation components, ranging from high-level behaviours and path-planning to local movements, as well as animation and visualisation. We provide a review of the most relevant methods in each area, emphasising the amount and nature of influence that the users have over the final result. Moreover, we discuss the currently available authoring tools (e.g., graphical user interfaces, drag-and-drop), identifying the trends of early and recent work. Finally, we suggest promising directions for future research that mainly stem from the rise of learning-based methods, and the need for a unified authoring framework.

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“…A study where the pedestrians are directly projected is performed by Narahara and Kobayashi [5] for walkthrough in architectural structures using real projectors and 3D building models. Bulbul and Dahyot [6] use social media data to populate virtual cities with virtual agents. In contrary to our framework, they use images on social media platforms, rather than a given video feed of the simulation area.…”

Section: Related Workmentioning

confidence: 99%

Augmentation of virtual agents in real crowd videos

Doğan

Demirci

Güdükbay

et al. 2018

SIViP

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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.

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Populating virtual cities using social media

Cited by 8 publications

References 25 publications

Social media based 3D visual popularity

Social media based 3D visual popularity

Authoring Virtual Crowds: A Survey

Augmentation of virtual agents in real crowd videos

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