Video Based Face Recognition using an Efficient Video Surveillance System
Author(s):
kavitha j, Mrs.K.Bala, Dr.D.Rajinigrinath
Keywords:
Face detection, face recognition, face tracking, Surveillance Analysis, Video Surveillance Systems
Abstract
Recently video surveillance systems were used in many domains in the last few decades such as crime prevention, human behavior understanding, activity analysis, traffic monitoring etc. Video based face recognition is the process of detecting and recognizing the faces captured by a video camera. Face recognition in video has gained wide attention as it plays an important role in designing automatic surveillance systems. The main challenges in the video based face recognition are the limitation of the camera hardware, the arbitrary poses captured by the camera as the subject is non cooperative, changes in the resolutions due to different lighting conditions, noise and blurriness. Therefore a video based face recognition system must be robust to the changes in the illumination, scale, pose and expression. It must perform the detection and recognition rapidly in real time. In order to minimize the human interaction with the system, it has to be automated.
