Performance evaluation of a face detection algorithm running on general purpose operating systems

Face detection is an important area of research in robotics and mechatronics applications as an essential subsystem in the interaction with human subjects. As face detection-based applications are moving into mobile and embedded systems, processing performance, among other characteristics, plays a major role. This paper reviews the current status concerning the development of face detection algorithms in order to evaluate the performance evaluation of a set of algorithms. A face detection algorithm based on the Viola-Jones face detector is implemented such that to run on three different operating systems and two hardware platforms in order to represent the basis for the development of a computing environment to run on robotic devices and on mechatronics applications.