Title :
Face tracking by 3-D dual-tree complex wavelet transform using support vector machine
Author :
Mansouri, Azadeh ; Azar, Farah Torkamani ; Aznaveh, Ahmad Mahmoudi
Author_Institution :
Dept. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran
Abstract :
The main objective of this research is the design of a new method for tracking special moving objects(faces), using Complex Wavelet Transform (CopfWT) and Support Vector Machine (SVM) classifier as a suitable binary classification system. By using motion-selective properties of 3-D-CopfWT , moving objects can be separated from background in 3-D signals like video. The selected objects applied to the SVM classifier and the positive answers of the system were interpreted as special objects.
Keywords :
face recognition; support vector machines; wavelet transforms; 3D dual-tree complex wavelet transform; binary classification system; face tracking; motion selective property; special moving object tracking; support vector machine; Continuous wavelet transforms; Discrete wavelet transforms; Filters; Image analysis; Signal analysis; Signal processing algorithms; Support vector machine classification; Support vector machines; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555386
