Implementation of Face Detection and Tracking on A Low Cost Embedded System Using Fusion Technique

Soetedjo, Aryuanto and Somawirata, I Komang (2016) Implementation of Face Detection and Tracking on A Low Cost Embedded System Using Fusion Technique. In: International Conference on Computer Science & Education (ICCSE 2016), August 23-25, 2016., Nagoya University, Japan.

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Abstract

Abstract—This paper presents the fusion techniques for detecting and tracking the face. The proposed method combines the Viola-Jones method, the CamShift tracking, and the Kalman Filter tracking. The objective is to increase the face detection rate, while reduce the computation cost. The proposed method is implemented on a low cost embedded system based-on the Raspberry Pi module. The experimental results show that the average detection rate of 98.3% is achieved, and it is superior compared to the existing techniques. The proposed system achieves the frame rate of 7.09 fps in the real-time face detection. Index Terms—Face detection, Viola-Jones, CamShift, Kalman Filter, Raspberry Pi.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Face detection, Viola-Jones, CamShift, Kalman Filter, Raspberry Pi.
Subjects: Engineering > Electrical Engineering
Divisions: Fakultas Teknologi Industri > Teknik Elektro S1
Depositing User: Ms Nunuk Yuli
Date Deposited: 10 Feb 2021 05:28
Last Modified: 22 Oct 2021 06:37
URI: http://eprints.itn.ac.id/id/eprint/5325

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