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Image processing, Analysis, and Machine Vision

Milan Sonka, Václav Hlavác, Roger Boyle

Chapter 16

Motion Analysis - all with Video Answers

Educators

Chapter Questions

Problem 1

Describe the differences between motion detection and moving-object detection.

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04:33

Problem 2

Name the object motion assumptions, and explain their rationale.

Manish Jain
Manish Jain
Numerade Educator

Problem 3

Explain how cumulative difference images can be used in motion analysis.

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02:24

Problem 4

What is the aperture problem? What are its consequences? How can this problem be overcome?

Jennifer Stoner
Jennifer Stoner
Numerade Educator

Problem 5

What are the two basic assumptions used for optical flow computation. Are the assumptions realistic? What problems arise if they are violated?

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Problem 6

Describe two approaches that increase optical flow computation robustness when the optical flow assumptions are not valid.

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01:04

Problem 7

Specify how optical flow can be used to determine:
(a) Mutual velocity of an observer and an object
(b) The focus of expansion
(c) Distance of a moving object from the obeerver
(d) Possible collision of the object with an ohserver and time to collision

Nick Johnson
Nick Johnson
Numerade Educator

Problem 8

Explain the image frame rate requirements for motion analysis using optical flow and motion analysis based on correspondence of interest points.

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Problem 9

Explain the concept of motion analysis based on correspondence of interest points. Why is the correspotsence problem difficult?

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Problem 10

Determine properties of a path coherence function and explain how it can be used for object tracking.

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Problem 11

Explain bow occlusion may be handled in object tracking. Why are phantom points needed?

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