A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot

We present an important aspect of our human-robot communication interface which is being developed in the context of our long-term research framework PERSES dealing with highly interactive mobile companion robots. Based on a multi-modal people detection and tracking system, we present a hierarchical...

Full description

Bibliographic Details
Main Authors: Jan Richarz, Andrea Scheidig, Christian Martin, Steffen Müller, Horst-Michael Gross
Format: Article
Language:English
Published: SAGE Publishing 2007-03-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/5700
_version_ 1818841928926494720
author Jan Richarz
Andrea Scheidig
Christian Martin
Steffen Müller
Horst-Michael Gross
author_facet Jan Richarz
Andrea Scheidig
Christian Martin
Steffen Müller
Horst-Michael Gross
author_sort Jan Richarz
collection DOAJ
description We present an important aspect of our human-robot communication interface which is being developed in the context of our long-term research framework PERSES dealing with highly interactive mobile companion robots. Based on a multi-modal people detection and tracking system, we present a hierarchical neural architecture that estimates a target point at the floor indicated by a pointing pose, thus enabling a user to navigate a mobile robot to a specific target position in his local surroundings by means of pointing. In this context, we were especially interested in determining whether it is possible to accomplish such a target point estimator using only monocular images of low-cost cameras. The estimator has been implemented and experimentally investigated on our mobile robotic assistant HOROS. Although only monocular image data of relatively poor quality were utilized, the estimator accomplishes a good estimation performance, achieving an accuracy better than that of a human viewer on the same data. The achieved recognition results demonstrate that it is in fact possible to realize a user-independent pointing direction estimation using monocular images only, but further efforts are necessary to improve the robustness of this approach for everyday application.
first_indexed 2024-12-19T04:33:53Z
format Article
id doaj.art-ae39233b459a4c658a0e259314361bd4
institution Directory Open Access Journal
issn 1729-8814
language English
last_indexed 2024-12-19T04:33:53Z
publishDate 2007-03-01
publisher SAGE Publishing
record_format Article
series International Journal of Advanced Robotic Systems
spelling doaj.art-ae39233b459a4c658a0e259314361bd42022-12-21T20:35:49ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142007-03-01410.5772/570010.5772_5700A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile RobotJan Richarz0Andrea Scheidig1Christian Martin2Steffen Müller3Horst-Michael Gross4Department of Neuroinformatics and Cognitive Robotics, Ilmenau Technical University, GermanyDepartment of Neuroinformatics and Cognitive Robotics, Ilmenau Technical University, GermanyDepartment of Neuroinformatics and Cognitive Robotics, Ilmenau Technical University, GermanyDepartment of Neuroinformatics and Cognitive Robotics, Ilmenau Technical University, GermanyDepartment of Neuroinformatics and Cognitive Robotics, Ilmenau Technical University, GermanyWe present an important aspect of our human-robot communication interface which is being developed in the context of our long-term research framework PERSES dealing with highly interactive mobile companion robots. Based on a multi-modal people detection and tracking system, we present a hierarchical neural architecture that estimates a target point at the floor indicated by a pointing pose, thus enabling a user to navigate a mobile robot to a specific target position in his local surroundings by means of pointing. In this context, we were especially interested in determining whether it is possible to accomplish such a target point estimator using only monocular images of low-cost cameras. The estimator has been implemented and experimentally investigated on our mobile robotic assistant HOROS. Although only monocular image data of relatively poor quality were utilized, the estimator accomplishes a good estimation performance, achieving an accuracy better than that of a human viewer on the same data. The achieved recognition results demonstrate that it is in fact possible to realize a user-independent pointing direction estimation using monocular images only, but further efforts are necessary to improve the robustness of this approach for everyday application.https://doi.org/10.5772/5700
spellingShingle Jan Richarz
Andrea Scheidig
Christian Martin
Steffen Müller
Horst-Michael Gross
A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot
International Journal of Advanced Robotic Systems
title A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot
title_full A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot
title_fullStr A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot
title_full_unstemmed A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot
title_short A Monocular Pointing Pose Estimator for Gestural Instruction of a Mobile Robot
title_sort monocular pointing pose estimator for gestural instruction of a mobile robot
url https://doi.org/10.5772/5700
work_keys_str_mv AT janricharz amonocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT andreascheidig amonocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT christianmartin amonocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT steffenmuller amonocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT horstmichaelgross amonocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT janricharz monocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT andreascheidig monocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT christianmartin monocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT steffenmuller monocularpointingposeestimatorforgesturalinstructionofamobilerobot
AT horstmichaelgross monocularpointingposeestimatorforgesturalinstructionofamobilerobot