A Chronological Review on Face Detection Algorithms Used in Modern Surveillance Systems
Abstract: The domain of face detection and recognition has fascinated researchers from last many decades due to its varied complexities. As till date various technologies are proposed for the same but fails to encounter every possible challenge during face detection. It has been a major challenge to identify a prominent methodology fully capable to detect and recognize faces challenged by every possible sources of noise and challenges. Environmental noise, scene complexity, occluded environment, etc reasons has been continuously deteriorating the modern surveillance systems. In this article we have reviewed various prominent approaches for facial detection ranging from classical edge based detection to neural network based model. Index Terms: Face detection, challenges, noise, features.