A comprehensive review on vision-based violence detection in surveillance videos
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …
topic of great interest in the research community due to the vast number of applications to …
Abnormal crowd behavior detection using motion information images and convolutional neural networks
C Direkoglu - IEEE Access, 2020 - ieeexplore.ieee.org
We introduce a novel method for abnormal crowd event detection in surveillance videos.
Particularly, our work focuses on panic and escape behavior detection that may appear …
Particularly, our work focuses on panic and escape behavior detection that may appear …
A hybrid deep network based approach for crowd anomaly detection
In this paper, we present a hybrid deep network based approach for crowd anomaly
detection in videos. For improved performance, the proposed approach exploits deep and …
detection in videos. For improved performance, the proposed approach exploits deep and …
Stacked sparse autoencoder and history of binary motion image for human activity recognition
The recognition of human actions in a video sequence still remains a challenging task in the
computer vision community. Several techniques have been proposed until today such as …
computer vision community. Several techniques have been proposed until today such as …
A psychologically inspired fuzzy cognitive deep learning framework to predict crowd behavior
In an intelligent surveillance system, detecting and predicting diverse collective crowd
behaviors has emerged as a challenging problem for efficient crowd management. In real …
behaviors has emerged as a challenging problem for efficient crowd management. In real …
A novel framework and concept-based semantic search Interface for abnormal crowd behaviour analysis in surveillance videos
Monitoring continuously captured surveillance videos is a challenging and time consuming
task. To assist this issue, a new framework is introduced that applies anomaly detection …
task. To assist this issue, a new framework is introduced that applies anomaly detection …
Event modeling and mining: a long journey toward explainable events
Recently, research on event management has redrawn much attention and made great
progress. As the core tasks of event management, event modeling and mining are essential …
progress. As the core tasks of event management, event modeling and mining are essential …
Anomalous event detection and localization in dense crowd scenes
Recognizing and localizing anomalous events in crowd scenes is a challenging problem
that has attracted the attention of researchers in computer vision. Surveillance cameras …
that has attracted the attention of researchers in computer vision. Surveillance cameras …
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 …
UAV based cost-effective real-time abnormal event detection using edge computing
Recent advancements in computer vision led to the development of a real-time surveillance
system which ensures the safety and security of the people in public places. An aerial …
system which ensures the safety and security of the people in public places. An aerial …