Shreenandan Kumar

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There have been many techniques for hiding messages in images in such a manner that the alterations made to the image are perceptually indiscernible. The Least-significant bit (LSB)-based approach is the most popular type of steganographic algorithm. However, we find that in most existing approaches the choice of embedding positions within the cover image(More)
In this paper, we present a simple and elegant tracking algorithm that incrementally updates the covariance matrix descriptor using an update mechanism based on Principle Component Analysis on Euclidean subspace. Here, the target window is represented as the covariance matrix descriptors, computed using the features extracted from that window. The(More)
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