DocumentCode
2869353
Title
Weighted statistical model for non-rigid image objects detection
Author
Ming, Yu ; Youan, Ke
Author_Institution
Hebei Univ. of Technol., Tianjin, China
Volume
2
fYear
1998
fDate
1998
Firstpage
897
Abstract
A new weighted statistical model is presented for detecting non-rigid image targets. In the detection or matching stage, a modified GA (genetic algorithm) is presented to solve the problem of adaptability to scaling, position and tilted angles. We demonstrate our WSM model on the practical human face detection problem. Some results are presented
Keywords
face recognition; genetic algorithms; object detection; object recognition; statistical analysis; adaptability; genetic algorithm; human face detection; modified GA; non-rigid image objects; object detection; position; scaling; tilted angles; weighted statistical model; Deformable models; Face detection; Genetic algorithms; Humans; Image edge detection; Machine intelligence; Neural networks; Object detection; Robustness; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770756
Filename
770756
Link To Document