In this research we develop a Real-time face tracking system by single pan-tilt camera. The system includes face detection, deformable template tracking and motion control. We refer a method to search the facial features by using the genetic algorithm searching technique, the learning algorithm for face detector is based on AdaBoost. In the face tracking, we refer a tracking way to combine with detection and tracking. In the pan-tilt camera control part, two fuzzy logic controllers are designed to control the tracking and handling of moving face. We achieve a more robust tracking way than the single-template by renewing face-template continuously. Finally in our tests, the system can track the face of people in 30-frame per second under complex environment by using the personal computer.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0703105-214114 |
| Date | 03 July 2005 |
| Creators | Xie, Yao-Zhang |
| Contributors | Tsung-Chuan Huang, Chien-Hsiang Chao, Ing-Rong Horng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0703105-214114 |
| Rights | off_campus_withheld, Copyright information available at source archive |
Page generated in 0.0043 seconds