Comparative Analysis on Various Face Detection Techniques using CCTV Footage

The real-time CCTV face detection has been made possible by using the method of Viola johns, blob Analysis work. The software first taking CCTV Video of all the authorized persons and stores the information into database. Proposed work deals with automated system to detect and classify the Faces using ANN (Artificial Neural Network) algorithm. The methodology comprised of the three phases, first the face Detection from CCTV Video, second apply ANN (Artificial Neural Network) for the purpose of the feature extraction. The most useful and the unique features of the CCTV video are extracted in the feature extraction phase. In the classification the CCTV Video is compared with the images from the database. In our research work, we empirically evaluate the face recognition which considers both shape and texture information to represent face capture based on ANN (Artificial Neural Network) for person independent face recognition. The face area is first divided into small regions from which the ANN (Artificial Neural Network), histograms are extracted and concatenated into a single feature vector. This feature vector forms an efficient representation of a face and is used to measure the similarities between the CCTV Video. In third phase and blob Analysis has been created and trained according to the features extracted from the CCTV Video.