Vision-based security system using two-view IP cameras
Date of Publication
2016
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Melvin K. Cabatuan
Defense Panel Member
Roy Francis Navea
Enrique M. Manzano
Abstract/Summary
Maintaining the security in large facilities like a university is one of the most difficult tasks to do. The use of the Vision-Based Security System Using Two-View IP Camera is one of the methods in strengthening the security in De La Salle University Science and Technology Complex. The purpose of this thesis is to increase the security of DLSU-STC through the recognition of the people who enters through the East Canopy of Milagros R. Del Rosario Building. The system uses two internet protocol (IP) cameras one for the front view and one for the right profile view, Linear Binary Patterns (LBP) for the face detection from the moving subjects, Support Vector Machine (SVM) for the actual facial recognition, Creator for the graphical user interface, Facial Alignment and Object Annotation for gathering the database, and T-Test for the statistical analysis of the data. The researchers first decided to use Linear Discriminant Analysis (LDA) however the results were underwhelming and decided to use feature extraction using KAZE keypoints and descriptors with SVM instead which provided better results.
Abstract Format
html
Language
English
Format
Accession Number
TU17033
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
xiv, 145 leaves : colored illustrations ; 28 cm. + 1 disc ; 4 3/4 in.
Keywords
Security systems
Recommended Citation
Cansado, J., Hatol, C. T., & Primavera, J. N. (2016). Vision-based security system using two-view IP cameras. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/8748
