Crowded scene analysis: A survey
Automated scene analysis has been a topic of great interest in computer vision and
cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded …
cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded …
Detecting coherent groups in crowd scenes by multiview clustering
Detecting coherent groups is fundamentally important for crowd behavior analysis. In the
past few decades, plenty of works have been conducted on this topic, but most of them have …
past few decades, plenty of works have been conducted on this topic, but most of them have …
Computer vision based crowd disaster avoidance system: A survey
B Yogameena, C Nagananthini - International journal of disaster risk …, 2017 - Elsevier
Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …
and promising topics due to the increase of people gatherings in public places where the …
Physics inspired methods for crowd video surveillance and analysis: a survey
X Zhang, Q Yu, H Yu - IEEE Access, 2018 - ieeexplore.ieee.org
Crowd analysis is very important for human behavior analysis, safety science, computational
simulation, and computer vision applications. One of the most popular applications is video …
simulation, and computer vision applications. One of the most popular applications is video …
Quantifying and detecting collective motion in crowd scenes
People in crowd scenes always exhibit consistent behaviors and form collective motions.
The analysis of collective motion has motivated a surge of interest in computer vision …
The analysis of collective motion has motivated a surge of interest in computer vision …
A hybrid social influence model for pedestrian motion segmentation
A hybrid social influence model (HSIM) has been proposed which is a novel and automatic
method for pedestrian motion segmentation. One of the major attractions of the HSIM is its …
method for pedestrian motion segmentation. One of the major attractions of the HSIM is its …
Density independent hydrodynamics model for crowd coherency detection
We propose density independent hydrodynamics model (DIHM) which is a novel and
automatic method for coherency detection in crowded scenes. One of the major advantages …
automatic method for coherency detection in crowded scenes. One of the major advantages …
A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes
This paper addresses the problem of detecting coherent motions in crowd scenes and
presents its two applications in crowd scene understanding: semantic region detection and …
presents its two applications in crowd scene understanding: semantic region detection and …
Crowd event detection on optical flow manifolds
Analyzing crowd events in a video is key to understanding the behavioral characteristics of
people (humans). Detecting crowd events in videos is challenging because of articulated …
people (humans). Detecting crowd events in videos is challenging because of articulated …
Conditional autoregressive-tunicate swarm algorithm based generative adversarial network for violent crowd behavior recognition
Violent crowd behavior detection has gained significant attention in the computer vision
system. Diverse crowd behavior detection approaches are introduced to detect violent …
system. Diverse crowd behavior detection approaches are introduced to detect violent …