Real time object detection and tracking using the kalman filter embedded in single board in a robot

Guapacha, Jovanny Bedoya [UNESP]Mantovanni, Suely Cunha Amaro [UNESP]2018-12-112018-12-112017-12-192017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2017 - Proceedings, v. 2017-January, p. 1-6.http://hdl.handle.net/11449/170729This 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.1-6porKalman filterKinectSingle board computerTrackingVisual computationReal time object detection and tracking using the kalman filter embedded in single board in a robotTrabalho apresentado em eventoAcesso aberto2-s2.0-85042774968