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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Video Surveillance System using based on Wavelet Transform
Authors Name: Meghana M. Deshpande
Unique Id: IJSDR2212060
Published In: Volume 7 Issue 12, December-2022
Abstract: Automatic human detection is an important application where security is the main concern. As human detection problem involves classification of two objects as humans and others, a human detection using intelligent video surveillance system is presented using support vector machine to detect human in surveillance field. In this paper, in order to improve the efficiency of the machine learning 2D Wavelet transform based features are used. It consists of wavelet statistical features and wavelet co-occurrence features which are obtained from red, green and blue layers of sample images. The sample images are obtained through the video which forms training input to SVM. The experimental results demonstrate that the proposed system achieves good success rate for wavelet co-occurrence features.
Keywords: Human detection, Support Vector machine, Video surveillance, Wavelet transform
Cite Article: "Video Surveillance System using based on Wavelet Transform", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 12, page no.401 - 404, December-2022, Available :http://www.ijsdr.org/papers/IJSDR2212060.pdf
Downloads: 000201523
Publication Details: Published Paper ID: IJSDR2212060
Registration ID:203001
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 401 - 404
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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