The need exists for finding a quantitative method for validating crowd simulations. One approach is to use optical flow of videos of real crowds to obtain velocities that can be used for comparison to simulations. Optical flow, in turn, needs to be calibrated to be useful. It is essential to show that optical flow velocities obtained from crowd videos can be mapped into the spatially averaged velocities of the observed trajectories of crowd members, and to quantify the extent of the correlation of the results. This research investigates methods to uncover the best conditions for a good correlation between optical flow and the average motion of individuals in crowd videos, with the aim that this will help in the quantitative validation of si...
For the proper understanding and modelling of crowd dynamics, reliable empirical data is necessary f...
Human Action Recognition is a developing field in computer vision and machine learning. Our aim is t...
The manuscript discusses about abnormalities in a crowded scenario. To prevent the mishap at a publi...
A method for extracting estimates of crowd movement from videos of the crowd was reported at EMSS 20...
A method for extracting estimates of crowd movement from videos of the crowd is reported. This metho...
Today, trying to understand what kind of behaviour the crowd shows by studying the data from surveil...
In visual surveillance, camera streams are often used to keep an eye on dense crowds. The examinatio...
Analysis of crowd behavior using surveillance videos is an issue for public security. Crowd behavior...
International audienceAnalyzing the crowd dynamics from video sequences is an open challenge in comp...
Video Surveillance and Monitoring is very active area of research in Computer Vision. However, most ...
In this paper, we present a system to detect and track crowds in an image sequence captured by a cam...
In this paper, we present a system to detect and track crowdsin a video sequence captured by a camer...
University of Technology Sydney. Faculty of Engineering and Information Technology.As the population...
The amount of information available in modern life is very high. And people's knowledge about what k...
For the proper understanding and modelling of crowd dynamics, reliable empirical data is necessary f...
Human Action Recognition is a developing field in computer vision and machine learning. Our aim is t...
The manuscript discusses about abnormalities in a crowded scenario. To prevent the mishap at a publi...
A method for extracting estimates of crowd movement from videos of the crowd was reported at EMSS 20...
A method for extracting estimates of crowd movement from videos of the crowd is reported. This metho...
Today, trying to understand what kind of behaviour the crowd shows by studying the data from surveil...
In visual surveillance, camera streams are often used to keep an eye on dense crowds. The examinatio...
Analysis of crowd behavior using surveillance videos is an issue for public security. Crowd behavior...
International audienceAnalyzing the crowd dynamics from video sequences is an open challenge in comp...
Video Surveillance and Monitoring is very active area of research in Computer Vision. However, most ...
In this paper, we present a system to detect and track crowds in an image sequence captured by a cam...
In this paper, we present a system to detect and track crowdsin a video sequence captured by a camer...
University of Technology Sydney. Faculty of Engineering and Information Technology.As the population...
The amount of information available in modern life is very high. And people's knowledge about what k...
For the proper understanding and modelling of crowd dynamics, reliable empirical data is necessary f...
Human Action Recognition is a developing field in computer vision and machine learning. Our aim is t...
The manuscript discusses about abnormalities in a crowded scenario. To prevent the mishap at a publi...