Precision-based Face Detection Algorithm Implementation on FPGA

Face detection is a crucial step to implement a face recognition and tracking system which is used in security, surveillance, biometrics, artificial intelligence etc. Face detection is a technique in which face(s) in a image or video and its location in image/video is identified. Face detection can be implemented by using different algorithms which depends upon the accuracy and the processing capabilities of the system on which it is implemented. The accuracy of detection is highly influenced by the factors like illumination, head pose, occlusion etc. This paper talks about the implementation of Viola-Jones algorithm for face detection in each image. This algorithm works on Haar features extracted from a face. Viola-Jones algorithm is a highly accurate algorithm, but it requires large number of resources. The complexity level of this algorithm is very high and can be used in such places where the accuracy of the system is a major concern.