Paper Info
Title
Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models.
Abstract
As the population of world is increasing, and even more concentrated in urban areas, ensuring public safety is becoming a taunting job for security personnel and crowd managers. Mass events like sports, festivals, concerts, political gatherings attract thousand of people in a constraint environment,therefore adequate safety measures should be adopted. Despite safety measures, crowd disasters still occur frequently. Understanding underlying dynamics and behavior of crowd is becoming areas of interest for most of computer scientists. In recent years, researchers developed several models for understanding crowd dynamics. These models should be properly calibrated and validated by means of data acquired in the field. In this paper, we developed a computer vision tool set that can be helpful not only in initializing the crowd simulation models but can also validate the simulation results. The main features of proposed tool set are: (1) Crowd flow segmentation and crowd counting, (2) Identifying source/sink location for understanding crowd behavior, (3) Group detection and tracking in crowds.
Year
Venue
Field
2017
arXiv: Computer Vision and Pattern Recognition
Group detection,Population,Computer vision,Crowds,Computer science,Segmentation,Crowd simulation,Artificial intelligence,Crowd dynamics,Initialization,Crowd psychology
DocType
Volume
Citations 
Journal
abs/1709.02243
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Sultan Daud Khan192.57
Muhammad Saqib222.07
M. Blumenstein316831.87