Computer Vision for Military Surveillance
Expert-defined terms from the Professional Certificate in AI for Military Defense course at London School of Business and Administration. Free to read, free to share, paired with a globally recognised certification pathway.
Artificial Intelligence (AI) #
A branch of computer science that aims to create machines that mimic human intelligence, such as the ability to learn, reason, problem-solve, perceive, and understand language.
Computer Vision #
A field of AI that deals with enabling computers to interpret and understand visual information from the world, such as images and videos.
Military Surveillance #
The use of technology to monitor and gather information about potential threats to national security.
Algorithm #
A set of rules or instructions that a computer follows to perform a task.
Deep Learning #
A type of machine learning that uses artificial neural networks with many layers to learn and represent data.
Object Detection #
The process of identifying and locating objects within an image or video.
Image Recognition #
The ability of a computer to identify and categorize objects within an image.
Facial Recognition #
A type of image recognition that specifically identifies and verifies individuals based on their facial features.
Video Analytics #
The use of computer vision to analyze and extract information from video data.
Intrusion Detection #
The use of computer vision to detect and alert security personnel to unauthorized access or activity.
Target Tracking #
The process of following the movement of a specific object or target within an image or video.
Optical Flow #
The pattern of apparent motion of image objects between two consecutive frames caused by the movement of object or camera.
Semantic Segmentation #
The process of partitioning an image into multiple segments, where each segment is a region with similar characteristics.
LiDAR #
A remote sensing method that uses light in the form of a pulsed laser to measure distances.
Thermal Imaging #
A type of imaging that uses heat signatures to detect objects and individuals.
Unmanned Aerial Vehicle (UAV) #
A type of aircraft that is operated remotely, also known as a drone.
Automatic Target Recognition (ATR) #
The ability of a computer system to automatically detect and recognize targets in sensor data.
Synthetic Aperture Radar (SAR) #
A type of radar that uses the motion of the platform to create a large "aperture," or antenna, which enables high-resolution imaging.
Ground Moving Target Indicator (GMTI) #
A type of radar that is used to detect and track moving targets on the ground.
Multi #
spectral Imaging: A type of imaging that captures data in multiple wavelengths, such as visible light, infrared, and ultraviolet.
Hyperspectral Imaging #
A type of imaging that captures data in a large number of narrow, contiguous wavelength bands.
Geographic Information System (GIS) #
A system for capturing, analyzing, and managing data related to geographic locations.
Global Positioning System (GPS) #
A system of satellites and receivers that is used to determine the precise location of a device.
Real #
time Processing: The ability of a computer system to process data and produce results quickly enough for the results to be useful in real time.
Big Data #
Large, complex datasets that cannot be easily managed or analyzed using traditional data processing techniques.
Data Fusion #
The process of integrating data from multiple sources to produce more accurate and comprehensive information.
Data Analytics #
The process of examining data to draw conclusions and make informed decisions.
Machine Learning #
A type of AI that enables computers to learn and improve their performance on a task without being explicitly programmed.
Neural Network #
A type of machine learning model that is inspired by the structure and function of the human brain.
Convolutional Neural Network (CNN) #
A type of neural network that is commonly used for image recognition tasks.
Recurrent Neural Network (RNN) #
A type of neural network that is commonly used for sequential data, such as text and speech.
Long Short #
Term Memory (LSTM): A type of RNN that is capable of learning long-term dependencies in sequential data.
Generative Adversarial Network (GAN) #
A type of neural network that is capable of generating new data that is similar to a given dataset.
Reinforcement Learning #
A type of machine learning in which an agent learns to make decisions by interacting with an environment and receiving rewards or penalties.
Fuzzy Logic #
A type of logic that allows for approximate reasoning, rather than the traditional true or false.
Evolutionary Algorithms #
A type of optimization algorithm that is inspired by the process of natural evolution.
Swarm Intelligence #
A type of optimization algorithm that is inspired by the behavior of groups of organisms, such as birds flocking or ants foraging.
Challenges #
Data Privacy #
Ensuring that personal and sensitive information is protected and not misused.
Data Security #
Protecting data from unauthorized access, theft, or destruction.
Bias #
Ensuring that the algorithms and models do not discriminate or show bias towards certain groups or individuals.
Explainability #
Ensuring that the algorithms and models are transparent and understandable to humans.
Robustness #
Ensuring that the algorithms and models can handle a variety of real-world conditions and scenarios.
Generalization #
Ensuring that the algorithms and models can perform well on new, unseen data.
It is important to note that, the field of Computer Vision for Military Surveill… #
This glossary is intended to provide a solid foundation for understanding the basics, but it is not exhaustive. It is also important to keep in mind that the application of these technologies in the military context brings additional ethical and legal considerations that must be taken into account.