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A Study of Real-Time Face Tracking with an Active Camera

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.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0703105-214114
Date03 July 2005
CreatorsXie, Yao-Zhang
ContributorsTsung-Chuan Huang, Chien-Hsiang Chao, Ing-Rong Horng
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0703105-214114
Rightsoff_campus_withheld, Copyright information available at source archive

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