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The Theory of Search. II. Target Detection

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  • B. O. Koopman

    (Columbia University, New York, New York)

Abstract

“Kinematic bases,” the first paper of this series, discussed the geometric and kinematic factors involved in search---the positions, motions, and contacts of observers and targets. Probability was introduced only in assuming specific relative positions for the observer and target.The present paper discusses the uncertainties inherent in the act of detection under various specific conditions of contact. In the course of the discussion a body of methods for applying probability to problems of detection is developed. It must be emphasized, however, that these methods are conditioned by the particular situation in the case of visual detection because the different elementary acts of looking or “glimpses” are essentially independent trials. The reason for the distinction follows.

Suggested Citation

  • B. O. Koopman, 1956. "The Theory of Search. II. Target Detection," Operations Research, INFORMS, vol. 4(5), pages 503-531, October.
    • Handle: RePEc:inm:oropre:v:4:y:1956:i:5:p:503-531
    DOI: 10.1287/opre.4.5.503
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    Cited by:

    1. Elina Stengård & Ronald van den Berg, 2019. "Imperfect Bayesian inference in visual perception," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-27, April.
    2. Patriksson, Michael, 2008. "A survey on the continuous nonlinear resource allocation problem," European Journal of Operational Research, Elsevier, vol. 185(1), pages 1-46, February.
    3. David E. Jeffcoat & Pavlo A. Krokhmal & Olesya I. Zhupanska, 2006. "Effects of cueing in cooperative search," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(8), pages 814-821, December.
    4. Garrec, Tristan, 2019. "Continuous patrolling and hiding games," European Journal of Operational Research, Elsevier, vol. 277(1), pages 42-51.
    5. Timothy H. Chung & Rachel T. Silvestrini, 2014. "Modeling and analysis of exhaustive probabilistic search," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(2), pages 164-178, March.
    6. Kompas, Tom & Chu, Long & Nguyen, Hoa Thi Minh, 2016. "A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia," Ecological Economics, Elsevier, vol. 130(C), pages 156-165.
    7. Peter Kolesar & Kellen Leister & Daniel Stimpson & Ronald Woodaman, 2013. "A simple model of optimal clearance of improvised explosive devices," Annals of Operations Research, Springer, vol. 208(1), pages 451-468, September.
    8. Manisha Bhardwaj & Ronald van den Berg & Wei Ji Ma & Krešimir Josić, 2016. "Do People Take Stimulus Correlations into Account in Visual Search?," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-16, March.
    9. Kompas, Tom & Chu, Long & McKirdy, Simon & Thomas, Melissa & Van Der Merwe, Johann, 2023. "Optimal post-border surveillance against invasive pests to protect a valuable nature reserve and island asset," Ecological Economics, Elsevier, vol. 208(C).

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