A Kalman filter in motion analysis from stereo image sequences

J. N. Pan; Y. Q. Shi; C. Q. Shu

doi:10.1109/ICIP.1994.413887

A Kalman filter in motion analysis from stereo image sequences

J. N. Pan, Y. Q. Shi, C. Q. Shu

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

8 Scopus citations

Abstract

In this paper, a Kalman filter-based algorithm for 3-D motion estimation from a stereo image sequence using the unified temporal-spatial optical flow field (UOFF) has been proposed. The modeling problem is discussed first. More consideration has been given to determining the covariance matrices for system noise and sensor noise than the previous works using Kalman filtering in image sequence processing. The newly visible image areas, i.e., the disocclusion issue, which have not been considered in the most of previous works, are handled in our algorithm by using a threshold method. Two experiments are presented to demonstrate the effectiveness of our algorithm.

Original language	English (US)
Article number	413887
Pages (from-to)	63-67
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	3
DOIs	https://doi.org/10.1109/ICIP.1994.413887
State	Published - 1994
Event	The 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA Duration: Nov 13 1994 → Nov 16 1994

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.1994.413887

Cite this

@article{cb52c90ae9484d2da9356745a4777a76,

title = "A Kalman filter in motion analysis from stereo image sequences",

abstract = "In this paper, a Kalman filter-based algorithm for 3-D motion estimation from a stereo image sequence using the unified temporal-spatial optical flow field (UOFF) has been proposed. The modeling problem is discussed first. More consideration has been given to determining the covariance matrices for system noise and sensor noise than the previous works using Kalman filtering in image sequence processing. The newly visible image areas, i.e., the disocclusion issue, which have not been considered in the most of previous works, are handled in our algorithm by using a threshold method. Two experiments are presented to demonstrate the effectiveness of our algorithm.",

author = "Pan, {J. N.} and Shi, {Y. Q.} and Shu, {C. Q.}",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; The 1994 1st IEEE International Conference on Image Processing ; Conference date: 13-11-1994 Through 16-11-1994",

year = "1994",

doi = "10.1109/ICIP.1994.413887",

language = "English (US)",

volume = "3",

pages = "63--67",

journal = "Proceedings - International Conference on Image Processing, ICIP",

issn = "1522-4880",

}

TY - JOUR

T1 - A Kalman filter in motion analysis from stereo image sequences

AU - Pan, J. N.

AU - Shi, Y. Q.

AU - Shu, C. Q.

PY - 1994

Y1 - 1994

N2 - In this paper, a Kalman filter-based algorithm for 3-D motion estimation from a stereo image sequence using the unified temporal-spatial optical flow field (UOFF) has been proposed. The modeling problem is discussed first. More consideration has been given to determining the covariance matrices for system noise and sensor noise than the previous works using Kalman filtering in image sequence processing. The newly visible image areas, i.e., the disocclusion issue, which have not been considered in the most of previous works, are handled in our algorithm by using a threshold method. Two experiments are presented to demonstrate the effectiveness of our algorithm.

AB - In this paper, a Kalman filter-based algorithm for 3-D motion estimation from a stereo image sequence using the unified temporal-spatial optical flow field (UOFF) has been proposed. The modeling problem is discussed first. More consideration has been given to determining the covariance matrices for system noise and sensor noise than the previous works using Kalman filtering in image sequence processing. The newly visible image areas, i.e., the disocclusion issue, which have not been considered in the most of previous works, are handled in our algorithm by using a threshold method. Two experiments are presented to demonstrate the effectiveness of our algorithm.

UR - http://www.scopus.com/inward/record.url?scp=84999269048&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84999269048&partnerID=8YFLogxK

U2 - 10.1109/ICIP.1994.413887

DO - 10.1109/ICIP.1994.413887

M3 - Conference article

AN - SCOPUS:84999269048

SN - 1522-4880

VL - 3

SP - 63

EP - 67

JO - Proceedings - International Conference on Image Processing, ICIP

JF - Proceedings - International Conference on Image Processing, ICIP

M1 - 413887

T2 - The 1994 1st IEEE International Conference on Image Processing

Y2 - 13 November 1994 through 16 November 1994

ER -

A Kalman filter in motion analysis from stereo image sequences

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this