Research on a Visual Sensing and Tracking System for Distance Education

Fei Yang, Rong Zhang, Youpeng Zhao

Abstract


With Microsoft’s motion sensor Kinect and a customized 3-axis pan-tilt-roll machinery connected together, a new intelligent sensing and tracking system comes into being. In order to simulate human natural visual sensing behavior, this system adopts the sensing function from Kinect placed upon the 3-axis motion machinery, controlled by a proposed expert PID control algorithm based on the adaptive Kalman filter, so as to guarantee automatic real-time visual tracking and to observe human movements and receive his/her position information. Experimental results indicate that this new system is capable of tracking one individual’s real-time movements with relatively high accuracy. Though this system is designed to be applied directly to distance education, it has great potential of functioning as a basic platform where many other human-computer natural interactions can be extended.

Keywords


Motion Sensor; RGB-D Sensor; Visual Sensing; Automatic Tracking; Kinect

Full Text:

PDF


Copyright (c) 2019 Fei Yang, Rong Zhang, Youpeng Zhao


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Indexing:
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo