<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper we discuss some image processing methods that can be used for motion recognition of human body parts such as hands or arms in order to interact with robots. This interaction is usually associated to gesture-based control. The considered image processing methods have been experienced for feature recognition in applications involving human robot interaction. They are namely: Sequential Similarity Detection Algorithm (SSDA), an appearance-based approach that uses image databases to model objects, and Kanade-Lucas-Tomasi (KLT) algorithm which is usually used for feature tracking. We illustrate the gesture-based interaction by using KLT algorithm. We discuss the adaptation of each of these methods to the context of gesture-based robot interaction and some of their related issues.</p>
</abstract>

In this paper we discuss some image processing methods that can be used for motion recognition of human body parts such as hands or arms in order to interact with robots. This interaction is usually associated to gesture-based control. The considered image processing methods have been experienced for feature recognition in applications involving human robot interaction. They are namely: Sequential Similarity Detection Algorithm (SSDA), an appearance-based approach that uses image databases to model objects, and Kanade-Lucas-Tomasi (KLT) algorithm which is usually used for feature tracking. We illustrate the gesture-based interaction by using KLT algorithm. We discuss the adaptation of each of these methods to the context of gesture-based robot interaction and some of their related issues.

Image Processing Methods for Gesture-Based Robot Control

Brothers Mentouri University Constantine1

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Image Processing Methods for Gesture-Based Robot Control"}

In this paper we discuss some image processing methods that can be used for motion recognition of human body parts such as hands or arms in order to interact...

Image Processing Methods for Gesture-Based Robot Control

Data publikacji: 30 gru 2021

Zakres stron: 101 - 113

Otrzymano: 14 lut 2021

Przyjęty: 20 wrz 2021

DOI: https://doi.org/10.2478/auseme-2021-0008

Słowa kluczowe
Gesture-based control, human-robot interaction, feature recognition, movement tracking, robotics

© 2021 Abdelouahab Zaatri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Image Processing Methods for Gesture-Based Robot Control

Data publikacji: 30 gru 2021

Zakres stron: 101 - 113

Otrzymano: 14 lut 2021

Przyjęty: 20 wrz 2021

DOI: https://doi.org/10.2478/auseme-2021-0008

Słowa kluczoweGesture-based control, human-robot interaction, feature recognition, movement tracking, robotics

© 2021 Abdelouahab Zaatri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Gesture-based control, human-robot interaction, feature recognition, movement tracking, robotics