Real time object detection and tracking using the Kalman Filter embedded in single board in a robot

Actas de congresos

Fecha

2017-01-01

Registro en:

2017 Chilean Conference On Electrical, Electronics Engineering, Information And Communication Technologies (chilecon). New York: Ieee, 6 p., 2017.

http://hdl.handle.net/11449/163896

WOS:000425925000164

Autor

Universidade Estadual Paulista (Unesp)

Institución

Universidade Estadual Paulista (Brasil)

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.

Materias

Visual Computation

Single Board Computer

Kalman Filter

Kinect

tracking

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