What is Anomaly Detection and How it is Used in Computer Vision?

Overview and Examples of Drone Applications

Merwansky
8 min readJul 28, 2022
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Hey there, in this article three things are covered, first what is anomaly detection from a vision perspective? what are the techniques used for anomaly detection? and where it is being used?

What is the Problem?

An outlier (a.k.a anomaly) is an observation in a data set which appears to be inconsistent with the remainder of that set of data” — Johnson 1992

An outlier is an observation which deviates so much from the other observations as to arouse suspicions that a different mechanism generated it” — Hawkins 1980

Anomalies are events that differ from the norm, occur infrequently, and don’t fit into the rest of the “pattern”. Anomalies include, for example:

  • large stock market drops and gains as a result of global events
  • faulty products in a factory or on a conveyor belt
  • contaminated laboratory samples
(image source).

Why Anomaly Detection?

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Merwansky
Merwansky

Written by Merwansky

Memento Mori Live in the present, and take advantage of opportunities Stop postponing things til tomorrow #science #technology #computer #vision #book #software

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