Efficient method for feature extraction on video preocessing

Authors:
R. Revathi;M. Hemalatha
Affiliations:
Karpagam University, Coimbatore, TamilNadu, India;Karpagam University, Coimbatore, TamilNadu, India
Venue:
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Year:
2012

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Abstract

A feature is defined as a role of one or more measurements, the values of some irrefutable assets of an object, computed so that it quantifies some significant characteristics of an object. Here in this paper we can have presented a clearer view of how feature extraction takes place on the basis of color, texture, and shape in video processing. The variation that occurs during feature extraction is also shown. The Iteration in which the objects are identified from a specified location is also considered. The proposed algorithm shows that the objects are identified correctly in a lower number of iterations itself when compared to the traditional algorithms.