An Enhanced Background Subtraction Algorithm for Smart Surveillance System Using Adaptive Gaussian Mixture Technique
Publish place: International Journal of Mechatronics, Electrical and Computer Technology، Vol: 10، Issue: 38
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 174
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJMEC-10-38_002
تاریخ نمایه سازی: 25 تیر 1400
Abstract:
Surveillance is an important component of secure infrastructure. People need to ensure that their properties, homes, friends, families, and valuables are protected from intruders. In this article, we developed an enhanced background subtraction algorithm for smart surveillance of homes under changes in illumination. An adaptive Gaussian Mixture technique was applied to improve the conventional background subtraction technique for smart surveillance system by reducing false positives and improving the system performance in motion detection. The developed smart surveillance system has the ability to send notifications containing intruder’s image to registered email account and short message system to registered phone number whenever motion is detected. The performance evaluation of developed algorithm showed a sensitivity of ۸۰%, specificity of ۹۲% and an accuracy of ۹۵.۵۶%. This system works in conditions of illumination changes and can be adopted in motion detection for home surveillance..
Keywords:
Authors
M.Olamiyi Olayemi
Federal University of Technology Minna, Niger State, Nigeria
Jibril A Bala
Federal University of Technology Minna, Niger State, Nigeria
Shefiu Olusegum Ganiyu
Federal University of Technology Minna, Niger State, Nigeria
Parise Emmanuel Wisdom
Federal University of Technology Minna, Niger State, Nigeria