DocumentCode
2346030
Title
Detecting regularity in point processes generated by humans
Author
Lake, Douglas
Author_Institution
Office of Naval Res., Arlington, VA, USA
fYear
1994
fDate
27-29 Oct 1994
Firstpage
91
Abstract
Detecting minefields in the presence of clutter is an important challenge for the Navy. Mine-fields have point patterns that tend to be regular for a variety of reasons including strategic doctrine, safety, tactical efficiency, and perhaps most intriguing the human element. For example, humans have a tendency to make lottery number selections, a one-dimensional discrete point process, in a non-uniform manner. In this paper, we introduce several simple procedures to detect regularity in point processes
Keywords
human factors; pattern recognition; random processes; stochastic processes; Navy; clutter; human element; lottery number selections; minefields detection; one-dimensional discrete point process; point patterns; point processes; regularity detection; safety; strategic doctrine; tactical efficiency; Frequency; Humans; Lakes; Object detection; Reconnaissance; Safety; Statistical distributions; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location
Alexandria, VA
Print_ISBN
0-7803-2761-6
Type
conf
DOI
10.1109/WITS.1994.513918
Filename
513918
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