Human detection based on discrete Wavelet transform

Author

Deshpande, M.M. ; Rana, J.G. ; Pawar, M.M.

Author_Institution

Dept. of Electron. & Telecommun., MGM´s J.N.E. Coll., Aurangabad, India

fYear

2012

fDate

27-29 Dec. 2012

Firstpage

1

Lastpage

4

Abstract

Human detection is an important application where security is the main concern. This paper presents the machine vision approach for detection of human in video using support vector machine. In this paper, in order to improve the efficiency of the machine learning 2D Wavelet transform based features are used which are obtained from red, green and blue layers of sample images which forms the training input to the SVM. This technique is demonstrated using real world video data and SVM classifier gives encouraging detection rate for these features.

Keywords

computer vision; discrete wavelet transforms; feature extraction; image classification; learning (artificial intelligence); support vector machines; 2D discrete wavelet transform-based features; SVM classifier; blue layers; green layers; human detection rate; machine learning efficiency improvement; machine vision approach; real-world video data; red layers; sample images; support vector machine; training images; Human detection; Machine vision; Support vector machine; Video surveillance; Wavelet transform;

fLanguage

English

Publisher

iet

Conference_Titel

Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on

Conference_Location

Tiruchengode

Electronic_ISBN

978-1-84919-797-7

Type

conf

DOI

10.1049/cp.2012.2248

Filename

6719154