- Tytuł:
- Automated tracking and real time following of moving person for robotics applications
- Autorzy:
-
Patoliya, Jignesh J.
Mewada, Hiren K. - Powiązania:
- https://bibliotekanauki.pl/articles/384835.pdf
- Data publikacji:
- 2019
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
visual tracking
robot operating system
identity retention
Gaussian Mixture Model - Opis:
- Presently the interaction of robots with human plays an important role in various social applications. Reliable tracking is an important aspect for the social robots where robots need to follow the moving person. This paper proposes the implementation of automated tracking and real time following algorithm for robotic automation. Occlusion and identity retention are the major challenges in the tracking process. Hence, a feature set based identity retention algorithm is used and integrated with robot operating system. The tracking algorithm is implemented using robot operating system in Linux and using OpenCV. The tracking algorithm achieved 85% accuracy and 72.30% precision. Further analysis of tracking algorithm corresponds to the integration of ROS and OpenCV is presented. The analysis of tracking algorithm concludes that ROS linking required 0.64% more time in comparison with simple OpenCV code based tracking algorithm.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 4; 31-37
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł