Crowd anomaly detection using Aggregation of Ensembles of fine-tuned ConvNets

2020 ◽  
Vol 371 ◽  
pp. 188-198 ◽  
Author(s):  
Kuldeep Singh ◽  
Shantanu Rajora ◽  
Dinesh Kumar Vishwakarma ◽  
Gaurav Tripathi ◽  
Sandeep Kumar ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Crowd Anomaly Detection

scholarly journals Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis

2018 ◽  
Vol 16 (1) ◽  
pp. 27-39 ◽  
Author(s):  
Yu Hao ◽  
Zhi-Jie Xu ◽  
Ying Liu ◽  
Jing Wang ◽  
Jiu-Lun Fan
Keyword(s):  
Anomaly Detection ◽  
Texture Analysis ◽  
Spatio Temporal ◽  
Crowd Anomaly Detection

A Survey of Video-Based Crowd Anomaly Detection in Dense Scenes

2017 ◽  
Vol 21 (2) ◽  
pp. 235-246 ◽  
Author(s):  
Junjie Ma ◽  
◽  
Yaping Dai ◽  
Kaoru Hirota
Keyword(s):  
Computer Vision ◽  
Anomaly Detection ◽  
Large Scale ◽  
Scene Analysis ◽  
Abnormal Event Detection ◽  
The Past ◽  
Crowd Density Estimation ◽  
Crowd Density ◽  
Dense Crowd ◽  
Crowd Anomaly Detection

Population growth has made the probability of incidents at large-scale crowd events higher than ever. In the past decades, automated crowd scene analysis done by computer vision has attracted attention. However, severe occlusions and complex crowd behaviors make such analysis a challenge. As a key aspect of crowd scene analysis, a number of works dealing with dense crowd anomaly detection based on computer vision have been presented. This work is a survey of computer vision techniques for analyzing dense crowd scenes. It covers two aspects: crowd density estimation and abnormal event detection. Some problems and perspectives are discussed at the end.

Visual data mining for crowd anomaly detection using artificial bacteria colony

2017 ◽  
Vol 77 (14) ◽  
pp. 17755-17777 ◽  
Author(s):  
Joelmir Ramos ◽  
Nadia Nedjah ◽  
Luiza de Macedo Mourelle ◽  
Brij B. Gupta
Keyword(s):  
Data Mining ◽  
Anomaly Detection ◽  
Visual Data ◽  
Visual Data Mining ◽  
Crowd Anomaly Detection

Social network model for crowd anomaly detection and localization

2017 ◽  
Vol 61 ◽  
pp. 266-281 ◽  
Author(s):  
Rima Chaker ◽  
Zaher Al Aghbari ◽  
Imran N. Junejo
Keyword(s):  
Social Network ◽  
Anomaly Detection ◽  
Network Model ◽  
Crowd Anomaly Detection ◽  
Detection And Localization

Rejecting Motion Outliers for Efficient Crowd Anomaly Detection

2019 ◽  
Vol 14 (2) ◽  
pp. 541-556 ◽  
Author(s):  
Muhammad Umar Karim Khan ◽  
Hyun-Sang Park ◽  
Chong-Min Kyung
Keyword(s):  
Anomaly Detection ◽  
Crowd Anomaly Detection
Sign in / Sign up

Export Citation Format

Share Document