3-D MOTION FROM IMAGE SEQUENCES: MODELING, UNDERSTANDING AND PREDICTION.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An approach to understanding general 3-D motion of a rigid body from image sequences is presented. Based on dynamics, a locally constant angular momentum (LCAM) model is introduced. The model is local in the sense that it is applied to a limited number of image frames at a time. Specifically, the model constrains the motion, over a local frame subsequence, to be a superposition of precession and translation. The trajectory of the rotation center is approximated by a vector polynomial. The nature and parameters of short-term motion can be estimated continuously with the goal of understanding motion through the image sequence. Noise smoothing is achieved by overdetermination and a least-squares criterion. Based on the assumption that the motion is smooth, object positions and motion in the near future can be predicted, and short missing subsequences can be recovered. Simulation results are given for both noisy synthetic data and images taken of a model airplane.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages125-130
Number of pages6
ISBN (Print)0818606967
StatePublished - Jan 1 1986

Fingerprint

Angular momentum
Trajectories
Aircraft
Polynomials

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Huang, T. S., Weng, J., & Ahuja, N. (1986). 3-D MOTION FROM IMAGE SEQUENCES: MODELING, UNDERSTANDING AND PREDICTION. In Unknown Host Publication Title (pp. 125-130). IEEE.

3-D MOTION FROM IMAGE SEQUENCES : MODELING, UNDERSTANDING AND PREDICTION. / Huang, Thomas S.; Weng, Juyang; Ahuja, Narendra.

Unknown Host Publication Title. IEEE, 1986. p. 125-130.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, TS, Weng, J & Ahuja, N 1986, 3-D MOTION FROM IMAGE SEQUENCES: MODELING, UNDERSTANDING AND PREDICTION. in Unknown Host Publication Title. IEEE, pp. 125-130.
Huang TS, Weng J, Ahuja N. 3-D MOTION FROM IMAGE SEQUENCES: MODELING, UNDERSTANDING AND PREDICTION. In Unknown Host Publication Title. IEEE. 1986. p. 125-130
Huang, Thomas S. ; Weng, Juyang ; Ahuja, Narendra. / 3-D MOTION FROM IMAGE SEQUENCES : MODELING, UNDERSTANDING AND PREDICTION. Unknown Host Publication Title. IEEE, 1986. pp. 125-130
@inproceedings{cc894258d11a4b6da5d87ab3c6a72f1d,
title = "3-D MOTION FROM IMAGE SEQUENCES: MODELING, UNDERSTANDING AND PREDICTION.",
abstract = "An approach to understanding general 3-D motion of a rigid body from image sequences is presented. Based on dynamics, a locally constant angular momentum (LCAM) model is introduced. The model is local in the sense that it is applied to a limited number of image frames at a time. Specifically, the model constrains the motion, over a local frame subsequence, to be a superposition of precession and translation. The trajectory of the rotation center is approximated by a vector polynomial. The nature and parameters of short-term motion can be estimated continuously with the goal of understanding motion through the image sequence. Noise smoothing is achieved by overdetermination and a least-squares criterion. Based on the assumption that the motion is smooth, object positions and motion in the near future can be predicted, and short missing subsequences can be recovered. Simulation results are given for both noisy synthetic data and images taken of a model airplane.",
author = "Huang, {Thomas S.} and Juyang Weng and Narendra Ahuja",
year = "1986",
month = "1",
day = "1",
language = "English (US)",
isbn = "0818606967",
publisher = "IEEE",
pages = "125--130",
booktitle = "Unknown Host Publication Title",

}

TY - GEN

T1 - 3-D MOTION FROM IMAGE SEQUENCES

T2 - MODELING, UNDERSTANDING AND PREDICTION.

AU - Huang, Thomas S.

AU - Weng, Juyang

AU - Ahuja, Narendra

PY - 1986/1/1

Y1 - 1986/1/1

N2 - An approach to understanding general 3-D motion of a rigid body from image sequences is presented. Based on dynamics, a locally constant angular momentum (LCAM) model is introduced. The model is local in the sense that it is applied to a limited number of image frames at a time. Specifically, the model constrains the motion, over a local frame subsequence, to be a superposition of precession and translation. The trajectory of the rotation center is approximated by a vector polynomial. The nature and parameters of short-term motion can be estimated continuously with the goal of understanding motion through the image sequence. Noise smoothing is achieved by overdetermination and a least-squares criterion. Based on the assumption that the motion is smooth, object positions and motion in the near future can be predicted, and short missing subsequences can be recovered. Simulation results are given for both noisy synthetic data and images taken of a model airplane.

AB - An approach to understanding general 3-D motion of a rigid body from image sequences is presented. Based on dynamics, a locally constant angular momentum (LCAM) model is introduced. The model is local in the sense that it is applied to a limited number of image frames at a time. Specifically, the model constrains the motion, over a local frame subsequence, to be a superposition of precession and translation. The trajectory of the rotation center is approximated by a vector polynomial. The nature and parameters of short-term motion can be estimated continuously with the goal of understanding motion through the image sequence. Noise smoothing is achieved by overdetermination and a least-squares criterion. Based on the assumption that the motion is smooth, object positions and motion in the near future can be predicted, and short missing subsequences can be recovered. Simulation results are given for both noisy synthetic data and images taken of a model airplane.

UR - http://www.scopus.com/inward/record.url?scp=0022603201&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022603201&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0022603201

SN - 0818606967

SP - 125

EP - 130

BT - Unknown Host Publication Title

PB - IEEE

ER -