Title :
Weighted statistical model for non-rigid image objects detection
Author :
Ming, Yu ; Youan, Ke
Author_Institution :
Hebei Univ. of Technol., Tianjin, China
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770756
