PERMANENT MONITORING PANEL–MITIGATION OF TERRORIST ACTS

2012 ◽  
pp. 553-559
Author(s):  
SALLY LEIVESLEY
Keyword(s):  
Terrorist Acts

Outgroup threats, ingroup compromises: Security over privacy in the aftermath of terrorist acts

2014 ◽  
Author(s):  
Sarah Cotterill ◽  
Nour Kteily ◽  
James Sidanius ◽  
Jennifer Sheehy-Skeffington ◽  
Robin Bergh
Keyword(s):  
Terrorist Acts

Determinants of decisions to prevent terrorist acts: Anticipated blame or perceived risks?

2005 ◽  
Author(s):  
A. Peter McGraw ◽  
Alexander Todorov ◽  
Howard Kunreuther
Keyword(s):  
Perceived Risks ◽  
Terrorist Acts

scholarly journals Automatic Handgun Detection with Deep Learning in Video Surveillance Images

2021 ◽  
Vol 11 (13) ◽  
pp. 6085
Author(s):  
Jesus Salido ◽  
Vanesa Lomas ◽  
Jesus Ruiz-Santaquiteria ◽  
Oscar Deniz
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Video Surveillance ◽  
Automatic Detection ◽  
Public Spaces ◽  
Detection Methods ◽  
Training Dataset ◽  
Average Precision ◽  
Terrorist Acts

There is a great need to implement preventive mechanisms against shootings and terrorist acts in public spaces with a large influx of people. While surveillance cameras have become common, the need for monitoring 24/7 and real-time response requires automatic detection methods. This paper presents a study based on three convolutional neural network (CNN) models applied to the automatic detection of handguns in video surveillance images. It aims to investigate the reduction of false positives by including pose information associated with the way the handguns are held in the images belonging to the training dataset. The results highlighted the best average precision (96.36%) and recall (97.23%) obtained by RetinaNet fine-tuned with the unfrozen ResNet-50 backbone and the best precision (96.23%) and F1 score values (93.36%) obtained by YOLOv3 when it was trained on the dataset including pose information. This last architecture was the only one that showed a consistent improvement—around 2%—when pose information was expressly considered during training.

SECURITY DYNAMICS IN NORTH AFRICA AND SAHEL REGION IN THE FIRST HALF OF 2021

2021 ◽  
Vol 79 (2) ◽  
pp. 41-55
Author(s):  
Crăișor-Constantin IONIȚĂ
Keyword(s):  
North Africa ◽  
International Community ◽  
African Continent ◽  
Illegal Migration ◽  
Humanitarian Crisis ◽  
Regional Powers ◽  
Illegal Migrants ◽  
Sahel Region ◽  
Terrorist Acts

The first half of 2021 was marked by the continued spread of the Sars-CoV-2 virus throughout the African continent, by the desperate attempts of the UN and regional powers to implement the Ceasefire Agreement in Libya and keep security situation under control, and increasing the number of illegal migrants to Europe. The COVID-19 pandemic did not reduce terrorist acts in the Sahel region, nor did it stop the wave of small immigrant boats to Spain and Italy from Africa. But the coronavirus pandemic has led to the closure of many African borders, bringing the economies of those countries to the brink of bankruptcy and deteriorating the humanitarian situation in North Africa and the Sahel region. The international community has difficulty monitoring the situation in the area, especially the humanitarian crisis and illegal migration, which is seriously affecting security in its vicinity.

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