Design of face detection and tracking system

Based on the face detection theory of Adaboost, incorporating with the program of Visual C++ in Windows, this paper designs a face detection system. This system realizes the function of face detection and increases detecting rate and speed by the combination of MIT face database and self-created fac...

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Bibliographic Details
Main Authors: Ruian Liu, Mimi Zhang, Shengtao Ma
Format: Conference Proceeding
Language:English
Subjects:
Adaboost algorithm
Camshift algorithm
Classification algorithms
Face
Face detection
face tracing
Image color analysis
Pixel
Training
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Summary:Based on the face detection theory of Adaboost, incorporating with the program of Visual C++ in Windows, this paper designs a face detection system. This system realizes the function of face detection and increases detecting rate and speed by the combination of MIT face database and self-created face database, and the effective training of face database. Utilizing continuously adaptive mean shift (Camshift) algorithm to trace the face, this paper improves the Camshift algorithm. Utilizing the method of initialization template of Adaboost face detection, this paper combines the detection with tracing to increase the face tracing efficiency.
DOI:10.1109/CISP.2010.5647262