FollowMe: a Robust Person Following Framework Based on Visual Re-Identification and Gestures-Reference-Cited by-同舟云学术

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FollowMe: a Robust Person Following Framework Based on Visual Re-Identification and Gestures

Published:2023-06-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)
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Author:

Rollo Federico¹,Zunino Andrea¹,Raiola Gennaro¹,Amadio Fabio¹,Ajoudani Arash²,Tsagarakis Nikolaos²

Affiliation:

1. Leonardo Labs,Intelligent and Autonomous Systems,Genoa,Italy

2. Istituto Italiano di Tecnologia,HHCM & HRII,Genoa,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10187190/10187410/10187536.pdf?arnumber=10187536

Reference26 articles.

1. FollowMe: Person following and gesture recognition with a quadrocopter

2. LMOT: Efficient Light-Weight Detection and Tracking in Crowds

3. Tracking Control of Human-Following Robot with Sonar Sensors

4. Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

5. Microsoft coco: Common objects in context;lin;Eur Conf Comput Vis,0

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integration of Tracking, Re-Identification, and Gesture Recognition for Facilitating Human–Robot Interaction;Sensors;2024-07-25

2. Continuous Adaptation in Person Re-identification for Robotic Assistance;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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