Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Target detection against narrow band noise backgrounds.

M W Cannon1, G J Reese, S C Fullenkamp

  • 1AirForce Research Laboratory, AFRL/HECV, Wright Patterson AFB, OH 45433, USA.

Vision Research
|May 27, 1999
PubMed
Summary

This study investigated how visual perception detects targets by analyzing differences in frequency and orientation. A model simulating human vision accurately predicted target detection, even for camouflaged objects.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Randomized, multicenter, phase II trial of two multicomponent regimens in androgen-independent prostate cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2003
Same author

A model for inhibitory lateral interaction effects in perceived contrast.

Vision research·1996
Same author

Multiple myeloma in a 25-year-old woman.

Clinical orthopaedics and related research·1993
Same author

Spatial interactions in apparent contrast: individual differences in enhancement and suppression effects.

Vision research·1993
Same author

The battalion medical platoon: a flawed scalpel.

Military medicine·1992
Same author

Spatial interactions in apparent contrast: inhibitory effects among grating patterns of different spatial frequencies, spatial positions and orientations.

Vision research·1991

Area of Science:

  • Visual Perception
  • Computational Neuroscience

Background:

  • Target detection is crucial for survival and has been studied using various methods.
  • Understanding how the visual system processes complex textures is key to explaining camouflage effectiveness.

Purpose of the Study:

  • To investigate the detectability of noise targets within noise backgrounds based on variations in center frequency, spatial frequency bandwidth, and orientation bandwidth.
  • To evaluate a computational model's ability to predict target detection performance.

Main Methods:

  • Noise targets replaced background textures, differing in specific frequency and orientation parameters.
  • A two-layer filter model, inspired by the complex channels model, was developed and tested.
  • Model performance was validated against human detection probabilities and camouflaged vehicle targets.

Related Experiment Videos

Main Results:

  • Target detection probabilities were accurately predicted by a transformation of the filter model's outputs.
  • The model successfully accounted for detection performance across varying target-background differences.
  • Encouraging results were observed when applying the model to real-world camouflage scenarios.

Conclusions:

  • A simplified computational model can effectively explain human visual target detection in complex noise backgrounds.
  • This model provides a framework for understanding the perception of camouflaged objects.
  • Further research can refine the model for applications in military and surveillance technologies.