DocumentCode :
3740838
Title :
A study of learning data size for automatic face area detection in sequential thermal images
Author :
Tsuyoshi Takahashi;Bo Wu;Yoichi Kageyama;Makoto Nishida;Masaki Ishii
Author_Institution :
Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University, Akita, Japan
fYear :
2015
Firstpage :
412
Lastpage :
413
Abstract :
Chronological change of temperature on cheeks includes important information to detect an emotion occurrence. To measure the specific region of face skin temperature accurately, we have developed a face detection method from sequential thermal image acquired in 30fps. In this paper, we investigated minimum quantity of learning data that is sufficient to create a high accurate face area detector. The experimental results for five persons showed that high detection rate was obtained when using over 350 images.
Keywords :
"Face","Skin","Detectors","Data acquisition","Temperature measurement","Face detection","Yttrium"
Publisher :
ieee
Conference_Titel :
Consumer Electronics (GCCE), 2015 IEEE 4th Global Conference on
Type :
conf
DOI :
10.1109/GCCE.2015.7398530
Filename :
7398530
Link To Document :
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