Actas de congresos
Real time object detection and tracking using the kalman filter embedded in single board in a robot
Fecha
2017-12-19Registro en:
2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, v. 2017-January, p. 1-6.
2-s2.0-85042774968
Autor
Universidade Estadual Paulista (Unesp)
Institución
Resumen
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.