Call for Paper - Upcoming Issues

Smart Surveillance Using OpenCV, Motion Analysis And Facial Landmark

International Journal of VLSI & Signal Processing
© 2020 by SSRG - IJVSP Journal
Volume 7 Issue 1
Year of Publication : 2020
Authors : Prasanna Rajendra, Niket Worlikar, Yash Mahajan, Siddhesh Swami
10.14445/23942584/IJVSP-V7I1P103
pdf
How to Cite?

Prasanna Rajendra, Niket Worlikar, Yash Mahajan, Siddhesh Swami, "Smart Surveillance Using OpenCV, Motion Analysis And Facial Landmark," SSRG International Journal of VLSI & Signal Processing, vol. 7,  no. 1, pp. 11-14, 2020. Crossref, https://doi.org/10.14445/23942584/IJVSP-V7I1P103

Abstract:

This paper proposes the implementation of a smart surveillance monitoring system with the use of IP webcam and face recognition. The previous system on face recognition had many security flaws. Our system is better with the use of efficient yet effective Local Binary Patterns Histogram (LPBH) algorithm, Facial landmark and motion detection algorithms. The system can recognize a face with more accuracy and confirm whether it is a real person or not with minimal error rates. The Experimental results after getting implementations and testing is of accuracy 85%-95%.

Keywords:

Face Recognition, OpenCV, IP Webcam.

References:

[1] Chinmaya Kaundanya Omkar Pathak, Akash Nalawade, Sanket Parode “Smart Surveillance System using Raspberry Pi and Face Recognition” at conference International Journal of Advanced Research in Computer and Communication Engineering in 2017.
[2] Mohannad A. Abuzneid and Ausif Mahmood , “Enhanced Human Face Recognition Using LPBH descriptor,” in 10 April 2018.
[3] Suma SL and Sarika Raga, “ Real Time Face Recognition of Human Faces by using LPBH and Viola Jones Algorithm,” in International Conference of Scientific Research in Computer Science and Engineering,” 06 Oct. 2018.
[4] Krishna Prasad Bhattarai, Bishnu Prasad Gautam and Kazuhiko Sato, “Authentic Gate Entry System (AGES) by Using LPBH for Smart Home Security,” in 2018 International conference of Networking and Network Applications(NaNA), 12-15 Oct. 2018.
[5] Aftab Ahmed, Jiandong Guo, Fayaz Ali and Farah Deeba, “LPBH Based Improved Face Recognition At Low Resolution,” in 2018 International Conference on Artificial Intelligence and Big Data(ICAIBD), At Chengdu, China, May 2018.
[6] Tereza Soukupova and Jan ´ Cech “ Real-Time Eye Blink Detection using Facial Landmarks“ in Center for Machine Perception, Department of Cybernetics 2016.
[7] Onur Sanli Bahar Ilgen “Face Detection and Recognition for Automatic Attendance System” In IntelliSys 2018: Intelligent Systems and Applications : 09 November 2018.