Title :
Combining support vector machines for accurate face detection
Author :
Buciu, I. ; Kotropoulos, C. ; Pitas, I.
Author_Institution :
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece
fDate :
6/23/1905 12:00:00 AM
Abstract :
The paper proposes the application of majority voting on the output of several support vector machines in order to select the most suitable learning machine for frontal face detection. The first experimental results indicate a significant reduction of the rate of false positive patterns
Keywords :
feature extraction; learning automata; object detection; face detection; false positive patterns rate reduction; frontal face detection; learning machine; majority voting; pattern extraction; statistical learning theory; support vector machines; training data set; Computer vision; Detectors; Face detection; Face recognition; Humans; Machine learning; Neural networks; Support vector machines; Testing; Voting;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959230
