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Detection of car in video using soft computing techniques

Publication Type : Journal Article

Publisher : Springer

Source : Communications in Computer and Information Science, Springer, Volume 270 CCIS, Number PART II, Vellore, p.556-565 (2012)

Url :

ISBN : 9783642292156

Keywords : Appropriate techniques, Classifiers, Corner detection, Detecting objects, Edge detection, Eigen-value, feature, Feature extraction, High dimensional data, Image regions, Image sequence, Information systems, Natural images, Object to objects, Reduced dimensionality, Soft computing, Softcomputing techniques

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Verified : Yes

Year : 2012

Abstract : 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.

Cite this Research Publication : 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.

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