Aug. 24, 2021
In computer vision, action recognition is the task of identifying when a person in an image or video is performing a given action. AI models can be trained to recognize a variety of actions, from running and sleeping to drinking, falling, or riding a bike.
Learning to detect, and distinguish between, different actions is an essential task for both humans and computer vision models. Human actions are everywhere from home surveillance systems to films and TV shows. This subfield of computer vision presents challenges due to the need for contextual information: for example, the same motion can represent different actions (e.g. locking a door or starting a car).
AI models for action recognition are trained on large datasets of images or videos. The task of action recognition can be further subdivided into different activities:
How can action recognition be used for real-world applications? The possible use cases of action recognition in computer vision include:
Need more computer vision definitions? Check out our computer vision glossary for an overview of everything you need to know. Is there a use case of action recognition that could benefit your business? Get in touch with our team of AI experts for a chat about your situation, or sign up today with a free account on the Chooch AI computer vision platform.