Method for real-time face region tracking based on color histogram

This paper describes a fast algorithm that tracks face region in dynamic images. We adopt the color histogram backprojection algorithm of swain-Ballard in order to find face region in subsequent frames. The algorithm has the advantages of being invariant to object rotation, small deformation, and noise. The following problems are addressed: building a model histogram, backprojecting model histogram, searching the peak response location, and updating the model histogram. The experimentation shows the possibility of realtime face tracking on PC or low-performance workstation.