Target Monitoring on Face Detection Based on Improved AdaBoost Algorithm

摘要

With the development of computer vision, the traditional identity verifying methods have not been satisfied people's demand. Also, iris and fingerprint detections rely on devices, so these cannot be used in large scope. Face detection is a fundamental and important research theme in the topic of Pattern Recognition and Computer Vision. This paper proposes use improved Ada-Boost algorithm, which is much better than normal AdaBoost.