Body and Hand–Object ROI-Based Behavior Recognition Using Deep Learning

Body and Hand–Object ROI-Based Behavior Recognition Using Deep Learning

Behavior recognition has applications in automatic crime monitoring, automatic sports video analysis, and context awareness of so-called silver robots. In this study, we employ deep learning to recognize behavior based on body and hand–object interaction regions of interest (ROIs). We propose an ROI...

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Bibliographic Details
Main Authors: Yeong-Hyeon Byeon, Dohyung Kim, Jaeyeon Lee, Keun-Chang Kwak
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
behavior recognition
convolutional neural network
skeleton
RGB video
ensemble
Online Access:https://www.mdpi.com/1424-8220/21/5/1838

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https://www.mdpi.com/1424-8220/21/5/1838

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