Volume : IV, Issue : X, October - 2015

A Novel Algorithm for Object Detection in Low Contrast Image and Recognition by SVM

Anita Gain, Dharmendra Roy

Abstract :

Detection of object by Low contrast images is a very crucial task in computer vision and machine learning. There are many existing methods are available but they take much time and results are not accurate. To address this problem here we proposed a novel algorithm. This algorithm mainly consist three phases. First, extraction of foreground region and generate a fine coarse region of interest of object. Second, calculate co –ordinates points of the boundary of object and plot 2–D histogram for extract shape feature vector. Third, feed this feature vector into SVM whether it is human being or non–human being. Experimental results of this algorithm demonstrate that it is robust enough to handle image of low contrast as well as normal light condition. This algorithm is used in surveillance system.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Anita Gain, Dharmendra Roy A Novel Algorithm for Object Detection in Low Contrast Image and Recognition by SVM International Journal of Scientific Research, Vol : 4, Issue : 10 October 2015

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