Author : Dr. M. Sivajothi 1
Date of Publication :27th December 2017
Abstract: In this research work proposes an innovative method of Real-time face detection and tracking. These features used to detect the faces that are extracted from the pre-processed image using the combination of Discrete Fourier Transform (DFT) and Discrete Cosine Transform (DCT). Feature selection process is accomplished using Binary particle swarm optimization (BPSO). Individual stages of the Face Detection system are examined and an attempt is made to improve each stage. DFT and DCT are used for efficient feature extraction and BPSO-based feature selection algorithm is used to search the feature space for the optimal feature subset. The feature subset representing each image is the face gallery that is used for similarity measurement in the detection stage. For this purpose, the Euclidean classifier is used. This proposed method has expected to produce higher performance under arbitrary variations in illumination, poses and backgrounds with slight occlusions too.
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