The operational objective of this project is to create a system to detect and track objects in real - time. In order to achieve this objective, a system of two cameras and two PC workstations will be developed to capture and process a visual scene. Each camera will perform a specialized function - one will act as a Scene View Camera (SVC) and one as an Object View Camera (OVC). The SVC will have a relatively wide view and monitor a scene, while the OVC will zoom in to a particular object of interest in the viewing range of the SVC. The object of interest for this project will be a human face. To track a human face, color segmentation, facial detection, and object tracking algorithms will be developed. The color segmentation will be done using a simple look-up table. The face detection algorithm will use a Support Vector Machine. The tracking will be done using the CAMSHIFT algorithm. To coordinate the cameras, an Intel OpenCV implementation of projective geometry will be used.