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

被引：0
|
作者：
Guapacha, Jovanny Bedoya [1 ]
Amaro Mantovanni, Suely Cunha [1 ]
机构：
[1] UNESP, Elect Engn Dept, Ilha Solteira, SP, Brazil
来源：
2017 CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON) | 2017年
关键词：
Visual Computation; Single Board Computer; Kalman Filter; Kinect; tracking;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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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页数：6
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