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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Pedestrian Activity Recognition Using 2-D Pose Estimation for Autonomous Vehicles
verfasst von : Pranav Pandey, Jagannath V. Aghav
Erschienen in: ICT Analysis and Applications
Verlag: Springer Singapore
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Abstract
Human activity recognition is the task of recognizing activities of any given subject in a scene, from a set of observation over time, taking into consideration the environmental and behavioral factors. It has application in a lot of fields including surveillance, assistance system, threat identification. Human activity recognition plays a vital role in human computer interaction, as it is very important that a computer correctly identifies human activity to really understand the human behavior and learn what the human is trying to convey through their action as more than 50% of communication humans do is through body language. In this paper, we propose a system for identifying activities of pedestrians on road using pose estimation to give the autonomous vehicles a better understanding of the humans’ actions and get better at driving and also provide a safer environment for the humans.