The features indicate the characteristics of the object. The features vary from object to object like colour, size, shape, texture etc. Natural images can be decomposed into constituent objects, which are in turn composed of features. The corners or edges of the object can be considered as part of feature extraction. The edges / corner detection is also complex for certain objects as it has varied characteristics due to other objects in representation. The other examples of features include motion in image sequences, curves, boundaries between different image regions, properties of region. Feature extraction is the process of transforming of high-dimensional data into a meaningful representation of reduced dimensionality. The identified features are beneficial to mitigate the computational complexity and improve the accuracy of a particular classifier. This paper suggests mechanism for selection of appropriate technique for detecting object like car in video. © 2012 Springer-Verlag.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@6790233a ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@27f8e9f4 Through org.apache.xalan.xsltc.dom.DOMAdapter@46c7a6ac; Conference Code:92172
Dr. Senthil Kumar T., Sivanandam, S. Nb, and Akhila, G. Pc, “Detection of car in video using soft computing techniques”, Communications in Computer and Information Science, vol. 270 CCIS, pp. 556-565, 2012.