Video Surveillance System using based on Wavelet Transform
Human detection, Support Vector machine, Video surveillance, Wavelet transform
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.
"Video Surveillance System using based on Wavelet Transform", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.401 - 404, December-2022, Available :https://ijsdr.org/papers/IJSDR2212060.pdf
Volume 7
Issue 12,
December-2022
Pages : 401 - 404
Paper Reg. ID: IJSDR_203001
Published Paper Id: IJSDR2212060
Downloads: 000347257
Research Area: Engineering
Country: Pune, Maharashtra , India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
