A Review Paper on Face Detection and Recognition in Video

Abstract: The intention of this paper is to review various face detection and recognition methods, sort them into different categories and distinguish innovative trends. In this connection the face detection and recognition in video streams is the foremost significant step of information drawing out in many computer vision and image processing applications. Detecting and recognition of face in video stream in generally being a challenging problem, provides an enormous attention for recognition, classification, and activity analysis, making these later steps more efficient. Naturally, assumptions are made to constrain the detection and recognition problem in the perspective of a particular application. In this survey, investigation of many existing schemes in the literature of recent developments and general strategies of all these stages are done and limitations of the various methods and outline promising directions of research are discussed.

Keywords: Adaboost Algorithm, Haar Based Cascade classifier, Locality Preserving Projections.