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ITS » Non Degree » Teknologi Informasi
Posted by ansi@its.ac.id at 30/05/2011 10:11:01  •  2844 Views


PENJEJAKAN OBYEK MENGGUNAKAN METODE BACKPROPAGATION

OBJECT TRACKING USING BACKPROPAGATION METHOD

Author :
ANDIKA, BAGUS DWI  ( 7407030040 )




ABSTRAK

Dalam proyek akhir ini dibuat aplikasi penjejakan wajah menggunakan kamera wireless. Kamera secara online mengcapture obyek. Proses pendeteksian wajah menggunakan prinsip prinsip yang ada di image prosesing yaitu mulai dari segmentasi warna kulit filtering deteksi tepi dan dibandingkan dengan template wajah yang ada. Proses selanjutnya adalah mencari posisi wajah dan menentukan titik tengah wajah. kemudian penjejakan wajah menggunakan metode backpropagation. Sebagai input adalah error jarak x dan error jarak y. error jarak y dan error jarak x adalah jarak antara titik tengah kamera dengan titik tengah obyek. Outputnya adalah jarak x dan jarak y yang akan diperintahkan kepada kamera agar bergerak sejauh jarak tersebut dan selalu mengikuti gerakan obyek. Jarak tersebut sudah dikoreksi errornya oleh metode backpropagation. Setelah dilakukan pengujian yang dilakukan terhadap sistem ini baik pengujian terhadap intensitas cahaya juga diujikan terhadap berbagai macam posisi wajah dan terhadap 20 orang yang berbeda tingkat keakurasian dari sistem ini adalah 75.


ABSTRACT

In this final project will be built a face tracking application usinga wireless camera. The camera is online to capture objects. Face detection process is based on the principle in image processing such as skin color segmentation filtering edge detection and compared with theexisting face templates. The next process is searching face position and determine the center of the face. Then this application will perform face tracking using backpropagation method. Input for backpropagation method is error distance between center of camera and center of object. After using backpropagation to reduce error its can get the output. Output is actual distance this distance will be input in camera to tracking object. After testing to this system the testing in level light intensity face position testing and testing using 20 people acuration rate of this system is 75 .



Keywordskamera wireless; capture online; image prosesing; pendeteksian; penjejakan; backpropagation
 
Subject:  data, pengolahan
Contributor
  1. SETIAWARDHANA, S.T
  2. FERNANDO ARDILA, S.ST
Date Create: 23/05/2011
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-NonDegree-3100010040746
Collection ID: 3100010040746
Call Number: RSEP 006.42 And p


Source
Non Degree Thesis, Informatics, RSEP 006.42 And p, 2010

Coverage
ITS Community

Rights
Copyright @2011 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-NonDegree-14651-abstract-idpdf.pdf - 104 KB
  2.  ITS-NonDegree-14651-abstract-enpdf.pdf - 101 KB
  3.  ITS-NonDegree-14651-conclusionpdf.pdf - 137 KB
  4.  ITS-NonDegree-14651-paperpdf.pdf - 255 KB




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