Face Tracking Technique Using CKE and CCA

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
In video surveillance, the faces of interest are often of small size. Image resolution is an important factor affecting face recognition by human and computer. In existing system a feature extraction method called Coupled Kernel Embedding (CKE) is used for LR face recognition. The final kernel matrix is constructed by concatenating two individual kernel matrices in the diagonal direction. CKE solves this problem by minimizing the dissimilarities captured by their kernel Gram matrices. In the proposed system Canonical Correlation Analysis (CCA) algorithm, also called Local Discrimination CCA (LDCCA) along with Coupled Kernel Embedding (CKE) is used for LR & HR face image recognition.
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