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 Concept Videos

Doppler Effect - I00:56

Doppler Effect - I

The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...
Detection of Black Holes01:10

Detection of Black Holes

Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
Actor-Observer Effect01:23

Actor-Observer Effect

The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in visual...

You might also read

Related Articles

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

Sort by
Same author

The effect of monocular depth cues on the detection of moving objects by moving observers.

Vision research·2016
Same author

Detection of moving objects using motion- and stereo-tuned operators.

Journal of vision·2015
Same author

Detecting moving objects in an optic flow field using direction- and speed-tuned operators.

Vision research·2014
Same author

Use of speed cues in the detection of moving objects by moving observers.

Vision research·2012
Same author

Integrating multiple cues to depth order at object boundaries.

Attention, perception & psychophysics·2011
Same author

A model for simultaneous computation of heading and depth in the presence of rotations.

Vision research·2007

Related Experiment Video

Updated: Jun 14, 2026

Controlled Rotation of Human Observers in a Virtual Reality Environment
09:11

Controlled Rotation of Human Observers in a Virtual Reality Environment

Published on: April 21, 2022

The detection of moving objects by moving observers.

Constance S Royden1, Erin M Connors

  • 1Department of Mathematics and Computer Science, College of the Holy Cross, Worcester, MA 01610, USA. croyden@cs.holycross.edu

Vision Research
|March 23, 2010
PubMed
Summary
This summary is machine-generated.

Detecting moving objects is crucial for navigation. Visual system performance in detecting objects depends on the global optic flow pattern, not just local motion cues.

More Related Videos

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

Related Experiment Videos

Last Updated: Jun 14, 2026

Controlled Rotation of Human Observers in a Virtual Reality Environment
09:11

Controlled Rotation of Human Observers in a Virtual Reality Environment

Published on: April 21, 2022

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

Area of Science:

  • Visual perception
  • Motion detection
  • Optic flow analysis

Background:

  • Navigating the environment requires detecting moving objects for avoidance or interception.
  • Observer motion creates complex retinal image motion, posing a challenge for the visual system.
  • Understanding how the visual system processes optic flow is key to explaining motion perception.

Purpose of the Study:

  • To investigate the role of global optic flow patterns in detecting moving objects.
  • To determine if visual system accuracy is influenced by the deviation from radial optic flow.
  • To compare performance under radial versus deformation optic flow patterns.

Main Methods:

  • Tested observers' ability to detect a moving object with varying motion angles relative to optic flow.
  • Compared detection performance between radial and deformation optic flow patterns.
  • Varied trial duration, object count, object eccentricity, and observer speed.

Main Results:

  • Observer accuracy in detecting moving objects is significantly dependent on the global optic flow pattern.
  • Performance varied based on the specific optic flow pattern presented (radial vs. deformation).
  • Factors like trial duration, object number, eccentricity, and observer speed also influenced detection accuracy.

Conclusions:

  • The visual system relies on global optic flow information for accurate motion detection.
  • Deviations from a purely radial flow pattern impact the ability to perceive object motion.
  • These findings highlight the complex interplay of global and local cues in visual motion processing.