DocumentCode :
305293
Title :
"Optical filter fusion for object detection"
Author :
Casasent, David
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
1
fYear :
1996
fDate :
18-21 Nov. 1996
Abstract :
No one algorithm is felt to be appropriate for detection. Thus to achieve this, first and most important, and most computationally intensive operation in image processing, we consider the use of several detection algorithms and fusion of their outputs to reduce false alarms PFA while retaining high detection rates P/sub D/. The detection algorithms must be shift-invariant, since multiple objects can be present and since object location is not known. Thus, correlation filters are attractive (they are shift-invariant and provide processing gain).
Keywords :
image processing; object detection; optical correlation; physics computing; spatial filters; wavelet transforms; computationally intensive operation; correlation filters; detection algorithms; false alarm reduction; high detection rates; image processing; multiple objects; object detection; object location; optical filter fusion; processing gain; shift-invariant; spatial filters; Constraint optimization; Data processing; Detection algorithms; Gabor filters; Image processing; Logic; Object detection; Optical distortion; Optical filters; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Lasers and Electro-Optics Society Annual Meeting, 1996. LEOS 96., IEEE
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-3160-5
Type :
conf
DOI :
10.1109/LEOS.1996.565245
Filename :
565245
Link To Document :
بازگشت