Real time object detection and tracking using the kalman filter embedded in single board in a robot
Nenhuma Miniatura disponível
Data
2017-12-19
Autores
Guapacha, Jovanny Bedoya [UNESP]
Mantovanni, Suely Cunha Amaro [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
This paper presents an algorithm implemented in real time in a laboratory robot, designed to trace and detect the color of an object in an indoor environment using the kalman filter. The image capture is done by a kinect camera installed in the robot. The algorithm is programmed into a single board computer, BeagleBone Black that uses the ROS - OpenCV system in image processing.
Descrição
Palavras-chave
Kalman filter, Kinect, Single board computer, Tracking, Visual computation
Como citar
2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, v. 2017-January, p. 1-6.