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Chapter 3: Visual Pathways

3.7. Motion

Scene segmentation is the process by which our visual system breaks down complex visual scenes into meaningful components. This crucial ability helps us identify and track objects, detect changes, and navigate our environment. Motion plays several vital roles in this process:

  1. Detecting Camouflaged Objects Motion can reveal objects that would otherwise be invisible when stationary. For instance, a perfectly camouflaged animal might remain hidden until it moves, at which point its motion immediately draws our attention and breaks its camouflage.
  2. Motion Parallax When we move, objects at different distances appear to move at different speeds relative to us. Closer objects appear to move faster than distant ones, providing important depth information. This motion parallax helps us understand the spatial layout of scenes.
  3. Attention Capture Motion is a powerful attention-grabbing cue. In a static scene, like a crowded room, a single moving element (such as someone waving) immediately captures our attention. Figure 3.12 demonstrates this principle using a grid of cells, where moving elements naturally stand out from their stationary neighbors.

 

Fig 3.12 Take a look at these cells. You’ll notice the ones that blink and move stand out in the crowd. (Credit: Jarod Davis. Provided by: University of Minnesota. License: CC-BY-4.0)

The Aperture Problem

When viewing motion through a limited opening or aperture, our perception of movement can become ambiguous. This phenomenon, known as the aperture problem, occurs because we can’t see the complete object or its endpoints. As illustrated in Figure 3.13, when viewing a moving object through different-sized apertures:

  • Through a larger aperture that shows the object’s edges, we can accurately perceive its motion
  • Through a smaller aperture that only shows part of the object, the motion can appear ambiguous or even stationary

 

 

Fig. 3.13. Aperture Problem. Notice that if you watch the block through the larger square, it seems as though the block is not moving, since its lines go with the block’s direction of motion. But the smaller square shows obvious motion, as its lines do not follow the direction of the block’s motion. (Credit: Jarod Davis. Provided by: University of Minnesota. License: CC-BY 4.0)

Optic Flow

Optic flow refers to the pattern of apparent motion of objects, surfaces, and edges caused by the relative movement between an observer and the environment. A classic example is the view while driving:

  • Objects appear to move outward from a central point (the horizon)
  • Nearby objects move faster across our visual field than distant ones
  • This pattern helps us determine our direction of movement and navigate effectively

Neural Processing of Motion

Different brain regions process distinct aspects of motion:

  • Area MT (Middle Temporal): Responds primarily to local motion, particularly of nearby objects
  • Area MST (Medial Superior Temporal): Specializes in processing optic flow patterns and global motion

These neural mechanisms work together to create our seamless perception of motion in complex environments, enabling us to navigate, track objects, and interact with our dynamic world effectively.

 

 

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This module was edited by Jill Grose-Fifer using the original by Cheryl Olman PSY 3031 Detailed Outline
Adapted by:  Megan Hulke

 

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Sensation and Perception Copyright © 2025 by Dr. Jill Grose-Fifer; Students of PSY 3031; and Edited by Dr. Cheryl Olman is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.