Stochastic motion estimation and its applications

Yung Nien Sun; Ming Huwi Horng

Stochastic motion estimation and its applications

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Motion is an important clue used in human vision to extract objects of interest form background with irrelevant details. In image analysis, motion stems from the relative displacement between sensor and scene under observation. In this paper, a posteriori probabilistic approach is used to define the problem of the motion estimation. The motion vector is estimated by maximizing the a posteriori probability distribution of the relation intensity distribution.

Original language	English
Title of host publication	Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)
Editors	Anon
Publisher	Publ by IEEE
Pages	961-965
Number of pages	5
ISBN (Print)	0780312333
Publication status	Published - 1993 Dec 1
Event	Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5) - Beijing, China Duration: 1993 Oct 19 → 1993 Oct 21

Publication series

Name	Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)

Other

Other	Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)
City	Beijing, China
Period	93-10-19 → 93-10-21

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

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title = "Stochastic motion estimation and its applications",

abstract = "Motion is an important clue used in human vision to extract objects of interest form background with irrelevant details. In image analysis, motion stems from the relative displacement between sensor and scene under observation. In this paper, a posteriori probabilistic approach is used to define the problem of the motion estimation. The motion vector is estimated by maximizing the a posteriori probability distribution of the relation intensity distribution.",

author = "Sun, {Yung Nien} and Horng, {Ming Huwi}",

year = "1993",

month = dec,

day = "1",

language = "English",

isbn = "0780312333",

series = "Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)",

publisher = "Publ by IEEE",

pages = "961--965",

editor = "Anon",

booktitle = "Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)",

note = "Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5) ; Conference date: 19-10-1993 Through 21-10-1993",

}

Sun, YN & Horng, MH 1993, Stochastic motion estimation and its applications. in Anon (ed.), Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93). Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93), Publ by IEEE, pp. 961-965, Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5), Beijing, China, 93-10-19.

TY - GEN

T1 - Stochastic motion estimation and its applications

AU - Sun, Yung Nien

AU - Horng, Ming Huwi

PY - 1993/12/1

Y1 - 1993/12/1

N2 - Motion is an important clue used in human vision to extract objects of interest form background with irrelevant details. In image analysis, motion stems from the relative displacement between sensor and scene under observation. In this paper, a posteriori probabilistic approach is used to define the problem of the motion estimation. The motion vector is estimated by maximizing the a posteriori probability distribution of the relation intensity distribution.

AB - Motion is an important clue used in human vision to extract objects of interest form background with irrelevant details. In image analysis, motion stems from the relative displacement between sensor and scene under observation. In this paper, a posteriori probabilistic approach is used to define the problem of the motion estimation. The motion vector is estimated by maximizing the a posteriori probability distribution of the relation intensity distribution.

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UR - http://www.scopus.com/inward/citedby.url?scp=0027765129&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0027765129

SN - 0780312333

T3 - Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)

SP - 961

EP - 965

BT - Proc 1993 IEEE Reg 10 Conf Comput Commun Control Power Eng (TENCON '93)

A2 - Anon, null

PB - Publ by IEEE

T2 - Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)

Y2 - 19 October 1993 through 21 October 1993

ER -

Stochastic motion estimation and its applications

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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