Title :
Optical filters for object detection and filter fusion to reduce false alarms
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
31 Oct-3 Nov 1994
Abstract :
Summary form only given. The first steps in general scene analysis are detection of candidate regions of interest where objects may exist and the reduction of noise, clutter and false alarms. New algorithms to achieve these objectives are described. Initial test results will be given in the presentation. New optical correlator hardware can provide up to 1000 correlations per second. If this hardware is to be of general image processing use, it must be able to achieve different functions necessary in the different levels of computer vision
Keywords :
object detection; clutter; computer vision; false alarms; filter fusion; general scene analysis; image processing; noise reduction; object detection; optical correlator hardware; optical filters; Computer vision; Correlators; Hardware; Image analysis; Image processing; Noise reduction; Object detection; Optical filters; Optical noise; Testing;
Conference_Titel :
Lasers and Electro-Optics Society Annual Meeting, 1994. LEOS '94 Conference Proceedings. IEEE
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-1470-0
DOI :
10.1109/LEOS.1994.586861