Title :
Detecting regularity in point processes generated by humans
Author_Institution :
Office of Naval Res., Arlington, VA, USA
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;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513918
