Crowd behavior analysis: A review where physics meets biology

Abstract

Although the traits emerged in a mass gathering are often non-deliberative, the act of mass impulse may lead to irrevocable crowd disasters. The two-fold increase of carnage in crowd since the past two decades has spurred significant advances in the field of computer vision, towards effective and proactive crowd surveillance. Computer vision studies related to crowd are observed to resonate with the understanding of the emergent behavior in physics (complex systems) and biology (animal swarm). These studies, which are inspired by biology and physics, share surprisingly common insights, and interesting contradictions. However, this aspect of discussion has not been fully explored. Therefore, this survey provides the readers with a review of the state-of-the-art methods in crowd behavior analysis from the physics and biologically inspired perspectives. We provide insights and comprehensive discussions for a broader understanding of the underlying prospect of blending physics and biology studies in computer vision.

Advances in Crowd Analysis for Urban Applications Through Urban Event Detection

“…Used mainly for crowd tracking and crowd behavior analysis [18], [20], [58], [59], [60], the video data has also been employed in, understanding traffic flow [81], [82], and crowd density estimation and crowd event detection [35].…”

“…The survey by [59] gives an investigation of physics and state-of-the-art bio-inspired techniques of crowd mobility pattern. Authors have reviewed crowd density estimation and mobility pattern analysis methods and provided some research directions.…”

“…The main focus of these articles were the methods that describe detection of crowd dynamics provided by crowd data. These dynamics generally consist of crowd count [6], [7], [11], [13], [49], [50], [17], [51], [52], crowd trajectories/mobility [32], [53], [9], [14], [54], crowd sentiment [21], and crowd behavior [18], [20], [55], [56], [57], [58], [51], [59], [60]. These articles clearly showed an increasing trend in the crowd event detection research for UA (see Figure 1C).…”

Abnormal crowd behavior detection using novel optical flow-based features

“…Then, in the testing phase, if there is any test sample that significantly deviates from the normal type, it is labelled to be abnormal. Extensive Surveys on crowd behavior analysis are provided in [2] [22].…”

An Eigenvalue Approach to Detect Flows and Events in Crowd Videos

“…private spaces. As a result, a great variety of approaches along with their contemporary and comprehensive surveys [1][2][3][4][5][6][7] can be found to deal with crowd°ow analysis and behavior understanding. In computer vision research, those approaches include people tracking, crowd counting, crowd density estimation, numerous events detection, validation, and simulation.…”