Real time object detection and tracking using the Kalman Filter embedded in single board in a robot
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Undergraduate course
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Ieee
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Acesso aberto
Abstract
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.
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Language
Portuguese
Citation
2017 Chilean Conference On Electrical, Electronics Engineering, Information And Communication Technologies (chilecon). New York: Ieee, 6 p., 2017.
