Interactions Between Specific Human and Omnidirectional Mobile Robot Using Deep Learning Approach: SSD-FN-KCF

Interactions Between Specific Human and Omnidirectional Mobile Robot Using Deep Learning Approach: SSD-FN-KCF

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To fulfill the tasks of human-robot interaction (HRI), how to detect the specific human (SH) becomes paramount. In this paper, the deep learning approach by the integration of Single-Shot Detection, FaceNet, and Kernelized Correlation Filter (SSD-FN-KCF) is developed. From the outset, the SSD is emp...

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Bibliographic Details
Main Authors: Chih-Lyang Hwang, Ding-Sheng Wang, Fan-Chen Weng, Sheng-Lin Lai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
human detection
face recognition
visual tracking
omnidirectional mobile robot
adaptive finite-time hierarchical constraint control
Online Access:https://ieeexplore.ieee.org/document/9016263/

Internet

https://ieeexplore.ieee.org/document/9016263/

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