Enhancing target detection using a hybrid human-computer system

Kenneth E. Hild, Misha Pavel, Deniz Erdogmus, Santosh Mathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Our goal is to develop an assistive technology for image analysts, which helps them to extract information (e.g., detect targets) efficiently. The images are displayed using the rapid serial visual presentation (RSVP) paradigm, in which a large image is broken into numerous smaller chips which are then displayed serially in the center of the monitor at a high rate. Detection performance is affected by several factors, one of which is the target eccentricity. We show how computer vision (CV) can be used to reduce the mean eccentricity in a manner that is expected to improve detection performance, while maintaining overall throughput.

Original languageEnglish (US)
Title of host publicationConference Record - 43rd Asilomar Conference on Signals, Systems and Computers
Pages51-54
Number of pages4
DOIs
StatePublished - Dec 1 2009
Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 1 2009Nov 4 2009

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other43rd Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/1/0911/4/09

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Hild, K. E., Pavel, M., Erdogmus, D., & Mathan, S. (2009). Enhancing target detection using a hybrid human-computer system. In Conference Record - 43rd Asilomar Conference on Signals, Systems and Computers (pp. 51-54). [5470175] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2009.5470175