Design and implementation of the face tracking and recognition system
| Autor: | Tsung-Yen Chen, 陳棕焱 |
|---|---|
| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 Face tracking and pose estimation, is getting more and more important recently because it can be applied in a variety of applications, such as the face recognition, video coding and teleconference, etc. However, over the past, the study focused on face tracking, which mostly used the fixed camera with pure background. Inspired by the lack of developments in face tracking, an efficient face tracking and recognition system based on the back propagation neural network of skin color segmentation is proposed in this study. In face tracking, the back propagation neural network on skin color segmentation is employed to separate the skin color area from a complicated background and the face position is located by elliptic masking. In face recognition, the main eigenvalue and eigenvector of image are initially saved in database as the recognize criterion, and then we use the mean square error to recognize who is in the image. Practically, this system can maintain the face on the center of the screen rapidly as well as provide efficiency for seeking and finding the accurate face and recognition in image. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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