Detection and Tracking of Multiple Face Using TMS320C6748 DSP Board

Face detection is a very challenging and interesting problem. In this paper, we discussed an application for automatic face detection and tracking on video streams from surveillance cameras in public or commercial places. In many situations it is useful to detect where the people are looking for, e.g. exhibits in, commercial malls, and public places. So prototype is designed to work with cameras for the face detection and tracking system based on the platforms CCS and OpenCV. The system is based on Haar Cascade Classifier. This system can be used for security purpose to record the visitor face as well as to detect and track the face. A program is developed using OpenCV that can detect people's face and also track from the camera.