Autokinetic Movement in Geometric Illusions: A Note

1976 ◽  
Vol 42 (2) ◽  
pp. 641-642
Author(s):  
C. R. Borresen
Keyword(s):  
Apparent Movement ◽  
Geometrical Illusion ◽  
Geometrical Illusions

Four static geometrical illusions were presented in an autokinetic movement situation. 50 Ss saw each form four times. Of the total responses, 36% were no-movement responses while 37% of the time the total figure was seen as moving. The remaining 27% of the responses involved apparent movement in only a part of the figure. In general, the elements seen as moving are the parts misperceived in the static geometrical illusion.

scholarly journals A Driver’s Visual Attention Prediction Using Optical Flow

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3722
Author(s):  
Byeongkeun Kang ◽  
Yeejin Lee
Keyword(s):  
Visual Attention ◽  
Optical Flow ◽  
Prediction Models ◽  
Apparent Movement ◽  
Image Sequences ◽  
Motion Information ◽  
Accuracy Improvement ◽  
Flow Maps ◽  
Current State ◽  
Motion Features

Motion in videos refers to the pattern of the apparent movement of objects, surfaces, and edges over image sequences caused by the relative movement between a camera and a scene. Motion, as well as scene appearance, are essential features to estimate a driver’s visual attention allocation in computer vision. However, the fact that motion can be a crucial factor in a driver’s attention estimation has not been thoroughly studied in the literature, although driver’s attention prediction models focusing on scene appearance have been well studied. Therefore, in this work, we investigate the usefulness of motion information in estimating a driver’s visual attention. To analyze the effectiveness of motion information, we develop a deep neural network framework that provides attention locations and attention levels using optical flow maps, which represent the movements of contents in videos. We validate the performance of the proposed motion-based prediction model by comparing it to the performance of the current state-of-art prediction models using RGB frames. The experimental results for a real-world dataset confirm our hypothesis that motion plays a role in prediction accuracy improvement, and there is a margin for accuracy improvement by using motion features.

Apparent Movement in Repetitively Patterned Fields

Nature ◽  
1962 ◽  
Vol 193 (4819) ◽  
pp. 960-962 ◽  
Author(s):  
MALCOLM E. WILSON
Keyword(s):  
Apparent Movement

Asymmetry in Event-Related Potentials to Simulated Auditory Motion in Children, Young Adults, and Seniors

2002 ◽  
Vol 13 (01) ◽  
pp. 001-013 ◽  
Author(s):  
James Jerger ◽  
Rebecca Estes
Keyword(s):  
Young Adults ◽  
Right Hemisphere ◽  
Apparent Movement ◽  
Event Related Potentials ◽  
Auditory Evoked Responses ◽  
Age Related ◽  
Related Potentials ◽  
Velocity Information ◽  
The Right ◽  
Age Range

We studied auditory evoked responses to the apparent movement of a burst of noise in the horizontal plane. Event-related potentials (ERPs) were measured in three groups of participants: children in the age range from 9 to 12 years, young adults in the age range from 18 to 34 years, and seniors in the age range from 65 to 80 years. The topographic distribution of grand-averaged ERP activity was substantially greater over the right hemisphere in children and seniors but slightly greater over the left hemisphere in young adults. This finding may be related to age-related differences in the extent to which judgments of sound movement are based on displacement versus velocity information.

Apparent movement of sounds: Auditory autokinesis

1969 ◽  
Vol 17 (4) ◽  
pp. 207-208 ◽  
Author(s):  
David R. Perrott ◽  
David J. French
Keyword(s):  
Apparent Movement
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