Feature point tracking in time-varying images

Paul M. Griffin; Sherri L. Messimer

doi:10.1016/0167-8655(90)90037-3

Feature point tracking in time-varying images

Paul M. Griffin
, Sherri L. Messimer

Harold and Inge Marcus Department of Industrial and Manufacturing Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This paper examines the problem of tracking feature points in dynamic imagery. Two types of imaging geometries are examined: orthographic projection and perspective projection. In each case, the goal is to perform the feature point tracking with a minimal number of images. The feature point tracking problem is shown to be intractable and a grddey heuristic is presented.

Original language	English (US)
Pages (from-to)	843-848
Number of pages	6
Journal	Pattern Recognition Letters
Volume	11
Issue number	12
DOIs	https://doi.org/10.1016/0167-8655(90)90037-3
State	Published - Dec 1990

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/0167-8655(90)90037-3

Cite this

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title = "Feature point tracking in time-varying images",

abstract = "This paper examines the problem of tracking feature points in dynamic imagery. Two types of imaging geometries are examined: orthographic projection and perspective projection. In each case, the goal is to perform the feature point tracking with a minimal number of images. The feature point tracking problem is shown to be intractable and a grddey heuristic is presented.",

author = "Griffin, \{Paul M.\} and Messimer, \{Sherri L.\}",

year = "1990",

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volume = "11",

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journal = "Pattern Recognition Letters",

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T1 - Feature point tracking in time-varying images

AU - Griffin, Paul M.

AU - Messimer, Sherri L.

PY - 1990/12

Y1 - 1990/12

N2 - This paper examines the problem of tracking feature points in dynamic imagery. Two types of imaging geometries are examined: orthographic projection and perspective projection. In each case, the goal is to perform the feature point tracking with a minimal number of images. The feature point tracking problem is shown to be intractable and a grddey heuristic is presented.

AB - This paper examines the problem of tracking feature points in dynamic imagery. Two types of imaging geometries are examined: orthographic projection and perspective projection. In each case, the goal is to perform the feature point tracking with a minimal number of images. The feature point tracking problem is shown to be intractable and a grddey heuristic is presented.

UR - https://www.scopus.com/pages/publications/0025634735

UR - https://www.scopus.com/pages/publications/0025634735#tab=citedBy

U2 - 10.1016/0167-8655(90)90037-3

DO - 10.1016/0167-8655(90)90037-3

M3 - Article

AN - SCOPUS:0025634735

SN - 0167-8655

VL - 11

SP - 843

EP - 848

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 12

ER -

Feature point tracking in time-varying images

Abstract

All Science Journal Classification (ASJC) codes

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