Presenter Tracking for Video Recording on Intel Galileo Board.

This paper proposes an intelligent video recording system based on Intel Galileo Gen2 board. The system is able to perform image processing; more precisely face detection and detect a presenter face using OpenCV libraries. Face detection was used to track the presenter’s position with the goal to effectively and autonomously make video recording. Processing images usually require a computer with a higher processing capability. But its application on smaller scale microcontroller can play an important role in the fields of science and technology with application in areas such as in television, video surveillance systems, robotics and industrial inspection.
This project successfully integrated a C++ based face detection code with an Arduino sketch for servo motor control on Intel Galileo Gen2. Face detection is achieved by capturing images extract and process single frame to detect face. The Arduino sketch is used to track the detected face by steady control of servo motors to which Logitech C270 720p 3-MP Widescreen HD Webcam is attached. The two processes inter-communicate using a shared memory.