Crowd behavior recognition is becoming an important research topic in video surveillance for public places. In this paper, we first discuss the crowd feature selection and extraction and propose a multiple-frame feature point detection and tracking based on the KLT tracker. We state that behavior modelling of crowd is usually coarse compared to that for individuals. Instead of developing genera...

INTRODUCTION Crowd computing like the crowd itself – builds on the idea that humanity is greater than the sum of its parts. With such roots, it is understandable how crowd computing has typically focused on finding common ground – mutual goals like improving teaching or audience understanding (Griswold, Rekimoto), communicating individually with audience members or simply making the variety of ...

In this paper, we propose a novel interface for controlling crowd animation. Crowd animation is widely used in movie production and computer games. However, to make an intended crowd animation, a lot of agent model parameters have to be tuned through trial and error. Our method estimates crowd parameters based on a few example paths given by a user through a sketch-based interface. The paramete...

This paper presents an insight of the review on crowd behaviour in panic situation and crowd modelling. The crowd behaviour discussed in this paper will observe the state-of-the-art in crowd reaction pattern during emergency outbreak in which the model and simulation will be constructed and considered based on the cited papers. Additionally, the sociological behaviour of individual in the crowd...

Exposure to crowding is said to be aversive, yet people also seek out and enjoy crowded situations. We surveyed participants at two crowd events to test the prediction of self-categorization theory that variable emotional responses to crowding are a function of social identification with the crowd. In data collected from participants who attended a crowded outdoor music event (n = 48), identifi...

Gaining an understanding of crowd behavior is important in supporting timely and appropriate crowd management principles in the planning and provision of emergency services at mass gatherings. This paper provides a review of the current understanding of the psychological factors of a crowd within the psychosocial domain as they apply to mass-gathering settings. It can be concluded from this rev...

Crowd work has emerged as a new form of digital gainful employment that changes the nature of work. However, an increasing number of people perform certain tasks in the crowd and start to identify with this work. In this paper, we outline our research in progress which is concerned with the effects of work characteristics in crowd work that have impact on the individual’s identification. Thus, ...

Crowd work has emerged as a new form of digital gainful employment whose nature is still a black box. In this paper, we focus on the crowd workers – a perspective that has been largely neglected by research. We report results from crowd worker interviews on two different platforms. Our findings illustrate that crowd aggregators as new players restructure the nature of crowd work sustainably wit...

Video-based crowd behaviour detection aims at tackling challenging problems such as automating and identifying changing crowd behaviours under complex real life situations. In this paper, real-time crowd anomaly detection algorithms have been investigated. Based on the spatio-temporal video volume concept, an innovative spatio-temporal texture model has been proposed in this research for its ri...

Pedestrian crowd simulation explores crowd behaviors in virtual environments. It is extensively studied in many areas, such as safety and civil engineering, transportation, social science, entertainment industry and so on. As a common phenomenon in pedestrian crowds, grouping can play important roles in crowd behaviors. To achieve more realistic simulations, it is important to support group mod...