Comparative Analysis of Human Detection Methods Using Combination of Hough Circle Transform and Descriptors

AVITA VERLEKAR; H.G.VIRANI M.E. Student; Department of Electronics and Telecommunication Engineering; Goa College of Engineering; Ponda; India Professor; Department; Department of Electronics and Telecommunication Engineering; Goa College of Engineering; Ponda; India

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Comparative Analysis of Human Detection Methods Using Combination of Hough Circle Transform and Descriptors

AVITA VERLEKAR, DR. H.G.VIRANI M.E. Student, Department of Electronics and Telecommunication Engineering, Goa College of Engineering, Ponda, India Professor, Department, Department of Electronics and Telecommunication Engineering, Goa College of Engineering, Ponda, India

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Abstract: Crowd detection and counting is an important task in video surveillance. In this paper a method of human detection and counting is implemented by combination of Hough Circle Transform and Descriptors. The Descriptor model uses three descriptors for identifying distinguishing features of head-neck-shoulder region. Comparative analysis is done and performance evaluation of the various methods is carried out.

Keywords: Human Detection; Hough Circle Transform (HCT); Descriptor Model (DM); Background Subtraction

How to Cite:

[1] AVITA VERLEKAR, DR. H.G.VIRANI M.E. Student, Department of Electronics and Telecommunication Engineering, Goa College of Engineering, Ponda, India Professor, Department, Department of Electronics and Telecommunication Engineering, Goa College of Engineering, Ponda, India, “Comparative Analysis of Human Detection Methods Using Combination of Hough Circle Transform and Descriptors,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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