Real time object detection and tracking using the Kalman Filter embedded in single board in a robot
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Orientador
Coorientador
Pós-graduação
Curso de graduação
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Editor
Ieee
Tipo
Trabalho apresentado em evento
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Acesso aberto
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
Visual Computation, Single Board Computer, Kalman Filter, Kinect, tracking
Idioma
Português
Citação
2017 Chilean Conference On Electrical, Electronics Engineering, Information And Communication Technologies (chilecon). New York: Ieee, 6 p., 2017.
