Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications

We introduce a framework for detection and classification of spatio-temporal person-object interactions. Our method clusters similar semantic contexts from interactions detected from RGB-D data. 2-D object detection (YOLO) is run on RGB data from a Kinect v2 sensor on a mobile robot navigating an of...

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Bibliographic Details
Main Authors: Zapf, Marc Patrick, Gupta, Astha, Morales Saiki, Luis Yoichi, Kawanabe, Motoaki
Format: Conference Proceeding
Language:eng ; jpn
Subjects:
Correlation
Feature extraction
Object detection
Robot sensing systems
Semantics
Three-dimensional displays
Online Access:Request full text
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