Add to ORKGThe goal of this project is to design an integrated system that allows for fast and reliable processing of high quality video data and in doing so detect and react to the presence of a firearm or other weaponry when used in a threatening or dangerous manner. This is accomplished through the combined use of computer vision processing techniques implemented on an FPGA as well as a convolutional neural network trained to determine the presence of a threat
This paper presents a near real-time, multi-stage classifier which identifies people and handguns in...
Research Brown Bag Session organised by research office servicesCrimes involving the use of illegal ...
The early detection of handguns and knives from surveillance videos is crucial to enhance people’s s...
The goal of this project is to design an integrated system that allows for fast and reliable process...
In recent years, many parts of the world recorded an increase in weapon violence, which led to a lot...
In our study, we aim to detect various weapons through image processing using a combination of tradi...
Every year, a large amount of population reconciles gun-related violence all over the world. In this...
Featured Application This work has applied computer vision and deep learning technology to develop a...
Surveillance cameras are a great support in crime investigation and proximity alarms and play a vita...
Each year, there is a significant number of people impacted by gun-related violence globally. To add...
Findings from the current UK national research programme, MEDUSA (Multi Environment Deployable Unive...
Closed circuit television systems CCTV play a vital role in evidence collection against crimes and c...
In response to any terrorist attack on hospitals, airports, shopping malls, schools, universities, c...
Many people have been killed indiscriminately by the use of handguns in different countries. Terrori...
In the last decade, deep learning and its application in computer vision have shown a big increase i...
This paper presents a near real-time, multi-stage classifier which identifies people and handguns in...
Research Brown Bag Session organised by research office servicesCrimes involving the use of illegal ...
The early detection of handguns and knives from surveillance videos is crucial to enhance people’s s...
The goal of this project is to design an integrated system that allows for fast and reliable process...
In recent years, many parts of the world recorded an increase in weapon violence, which led to a lot...
In our study, we aim to detect various weapons through image processing using a combination of tradi...
Every year, a large amount of population reconciles gun-related violence all over the world. In this...
Featured Application This work has applied computer vision and deep learning technology to develop a...
Surveillance cameras are a great support in crime investigation and proximity alarms and play a vita...
Each year, there is a significant number of people impacted by gun-related violence globally. To add...
Findings from the current UK national research programme, MEDUSA (Multi Environment Deployable Unive...
Closed circuit television systems CCTV play a vital role in evidence collection against crimes and c...
In response to any terrorist attack on hospitals, airports, shopping malls, schools, universities, c...
Many people have been killed indiscriminately by the use of handguns in different countries. Terrori...
In the last decade, deep learning and its application in computer vision have shown a big increase i...
This paper presents a near real-time, multi-stage classifier which identifies people and handguns in...
Research Brown Bag Session organised by research office servicesCrimes involving the use of illegal ...
The early detection of handguns and knives from surveillance videos is crucial to enhance people’s s...