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Showing papers on "Object detection published in 1980"


Patent
09 Aug 1980
TL;DR: In this article, a method of detecting and identifying moving objects and for determining their speeds involves the evaluation of beams reflected from the objects, which can be passed to a different position for processing and display and for camera or warning activation.
Abstract: A method of detecting and identifying moving objects and for determining their speeds involves the evaluation of beams reflected from the objects. It enables reliable identification and speed measurement after a coarse alignment of the system perpendicular to the direction of motion of the object. The method involves extracting a signal from the ambient light reflected by the object. The signal is characteristic of the object and is compared with sorted object patterns. Signals may be extracted at different times and from different points and then correlated with each other. The signals can be passed to a different position for processing and display and for camera or warning activation. The signals are obtained using a passive optical sensor connected to a signal processor contg. a correlator, peak detector and amplifiers.

13 citations


Journal ArticleDOI
TL;DR: Results of a study of adaptive threshold target detection and map-matching algorithms are presented and log threshold processing is shown to be preferred over linear threshold processing when the clutter data surrounding the target cell is contaminated by other targets, decoy corner reflectors, or bright clutter cells.
Abstract: Results of a study of adaptive threshold target detection and map-matching algorithms are presented. Log threshold processing is shown to be preferred over linear threshold processing when the clutter data surrounding the target cell is contaminated by other targets, decoy corner reflectors, or bright clutter cells. Whereas previous studies have resorted to extensive Monte-Carlo simulations of log threshold algorithms, the results were obtained using a novel analytical approach based upon Parseval's theorem.

12 citations


Proceedings ArticleDOI
J. F. Jarvis1, J. A. Tyson1
21 Nov 1980
TL;DR: In this article, a system called FOCAS (Faint Object Classification and Analysis System) was proposed to automatically detect and catalog stellar and galactic images on photographic plates. But it was not used to find all objects brighter than a limiting magnitude and classify each image as stellar (nonresolved) or galactic (resolved).
Abstract: A system, FOCAS (Faint Object Classification and Analysis System), designed to automatically detect and catalog stellar and galactic images on photographic plates is described. FOCAS was designed and is used to find all objects brighter than a limiting magnitude (24th on nitrogen baked IIIaJ plates exposed for one hour on the KPNO 4m telescope) and classify each image as stellar (nonresolved) or galactic (resolved). An important task in the implementation of this system is to verify that it performs as designed and to establish its limitations. The following internal tests were made to establish confidence in the automated cataloging system. Processing and comparing objects from two plates of the same field yields information about object detection efficiency and classification consistency. Processing synthesized dim stellar images provides detection efficiency information. Classification of synthesized stellar and galactic images gives information regarding classification accuracy. Processing a uniformly fogged plate establishes the magnitude where emulsion irregularities begin being detected as images. Comparison of FOCAS results with deeper CCD and video camera images corroborates these internal tests.

3 citations


Proceedings ArticleDOI
21 Feb 1980
TL;DR: A technique for allowing edge and region relaxation networks to interact locally will be described and experimental results will be presented which demonstrate that interaction will improve network performance.
Abstract: Relaxation techniques have been successfully applied to both edge and region based segmentation schemes. However, neither an edge or region scheme makes use of all information available for segmentation. A technique for allowing edge and region relaxation networks to interact locally will be described. Experimental results will be presented which demonstrate that such interaction will improve network performance.© (1980) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.