Improved Viola-Jones Face Recognition UsingTracking

Mangaras, Yanu F and Hidayatulah, Himawan and Parasian, Silitonga (2020) Improved Viola-Jones Face Recognition UsingTracking. TEST Engineering & Management, 83. pp. 3945-3952. ISSN 0193-4120

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Abstract

Optimization of accuracy has been an important study in the study of face recognition for 2 decades. Varied facial features and changing poses in a short amount of time make optimizing accuracy even more complicated. This study aims to improve the accuracy of face recognition of the Viola-Jones method on moving objects by adding a tracking algorithm. The tracking algorithm used in this study is the Continuously Adaptive Mean Shift (Camshift) algorithm. This algorithm is the development of the Mean Shift algorithm which continuously adapts or adjusts to the color probability distribution that is always changing with each change of frame of a video sequence. The addition of tracking significantly increases accuracy compared without tracking by 96%.

Item Type: Article
Uncontrolled Keywords: Face Recognition, Tracking, Viola-Jones, Euclidean Distance
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: ST,MM,MEng HIDAYATULAH HIMAWAN
Date Deposited: 27 Jul 2020 10:19
Last Modified: 27 Jul 2020 10:20
URI: http://eprints.upnyk.ac.id/id/eprint/23090

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