Qualitative estimation of camera motion parameters from the linear composition of optical flow

Sang Cheol Park; Hyoung Suk Lee; Seong Whan Lee

doi:10.1016/j.patcog.2003.07.012

Qualitative estimation of camera motion parameters from the linear composition of optical flow

Sang Cheol Park, Hyoung Suk Lee, Seong Whan Lee

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

25 Citations (Scopus)

Abstract

In this paper, we propose a new method for estimating camera motion parameters based on optical flow models. Camera motion parameters are generated using linear combinations of optical flow models. The proposed method first creates these optical flow models, and then linear decompositions are performed on the input optical flows calculated from adjacent images in the video sequence, which are used to estimate the coefficients of each optical flow model. These coefficients are then applied to the parameters used to create each optical flow model, and the camera motion parameters implied in the adjacent images can be estimated through a linear composition of the weighted parameters.We demonstrated that the proposed method estimates the camera motion parameters accurately and at a low computational cost as well as robust to noise residing in the video sequence being analyzed.

Original language	English
Pages (from-to)	767-779
Number of pages	13
Journal	Pattern Recognition
Volume	37
Issue number	4
DOIs	https://doi.org/10.1016/j.patcog.2003.07.012
Publication status	Published - 2004 Apr

Bibliographical note

Funding Information:
This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea.

Funding Information:
This research was supported by a Korea University Grant.

Funding Information:
About the Author —SEONG-WHAN LEE received his B.S. degree in computer science and statistics from Seoul National University, Seoul, Korea, in 1984, the M.S. and Ph.D. degrees in computer science from KAIST in 1986 and 1989, respectively. From February 1989 to February 1995, he was an assistant professor in the Department of Computer Science at Chungbuk National University, Cheongju, Korea. In March 1995, he joined the faculty of the Department of Computer Science and Engineering at Korea University, Seoul, Korea, as an associate professor, and now he is a full professor. Currently, Dr. Lee is the director of National Creative Research Initiative Center for Artificial Vision Research (CAVR) supported by the Korean Ministry of Science and Technology. He was the winner of the Annual Best Paper Award of the Korea Information Science Society in 1986. He obtained the First Outstanding Young Researcher Award at the Second International Conference on Document Analysis and Recognition in 1993, and the First Distinguished Research Professor Award from Chungbuk National University in 1994. He also obtained the Outstanding Research Award from the Korea Information Science Society in 1996. He has been the co-Editor-in-chief of the International Journal on Document Analysis and Recognition since 1998 and the associate editor of the Pattern Recognition Journal, the International Journal of Pattern Recognition and Artificial Intelligence, and the International Journal of Computer Processing of Oriental Languages since 1997. He was the Program co-chair of the Sixth International Workshop on Frontiers in Handwriting Recognition, the Second International Conference on Multimodal Interface, the 17th International Conference on Computer Processing of Oriental Languages, the Fifth International Conference on Document Analysis and Recognition, and the Seventh International Conference on Neural Information Processing. He was the conference co-chair of the Third International Workshop on Document Analysis Systems, the First IEEE International Workshop on Biologically Motivated Computer Vision, the First International Workshop on Pattern Recognition with Support Vector Machines, the Second International Workshop on Biologically Motivated Computer Vision, and the 6th IEEE International Conference on Automatic Face and Gesture Recognition. He served on the program committees of several well-known international conferences. He is a fellow of IAPR, a senior member of the IEEE Computer Society and a life member of the Korea Information Science Society and the Oriental Languages Computer Society. His research interests include pattern recognition, computer vision and neural networks. He has more than 200 publications on these areas in international journals and conference proceedings, and authored 10 books.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

Estimation of camera motion parameters
Linear composition
Linear decomposition
Optical flows
Video sequences

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/j.patcog.2003.07.012

Cite this

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title = "Qualitative estimation of camera motion parameters from the linear composition of optical flow",

abstract = "In this paper, we propose a new method for estimating camera motion parameters based on optical flow models. Camera motion parameters are generated using linear combinations of optical flow models. The proposed method first creates these optical flow models, and then linear decompositions are performed on the input optical flows calculated from adjacent images in the video sequence, which are used to estimate the coefficients of each optical flow model. These coefficients are then applied to the parameters used to create each optical flow model, and the camera motion parameters implied in the adjacent images can be estimated through a linear composition of the weighted parameters.We demonstrated that the proposed method estimates the camera motion parameters accurately and at a low computational cost as well as robust to noise residing in the video sequence being analyzed.",

keywords = "Estimation of camera motion parameters, Linear composition, Linear decomposition, Optical flows, Video sequences",

author = "Park, {Sang Cheol} and Lee, {Hyoung Suk} and Lee, {Seong Whan}",

note = "Funding Information: This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea. Funding Information: This research was supported by a Korea University Grant. Funding Information: About the Author —SEONG-WHAN LEE received his B.S. degree in computer science and statistics from Seoul National University, Seoul, Korea, in 1984, the M.S. and Ph.D. degrees in computer science from KAIST in 1986 and 1989, respectively. From February 1989 to February 1995, he was an assistant professor in the Department of Computer Science at Chungbuk National University, Cheongju, Korea. In March 1995, he joined the faculty of the Department of Computer Science and Engineering at Korea University, Seoul, Korea, as an associate professor, and now he is a full professor. Currently, Dr. Lee is the director of National Creative Research Initiative Center for Artificial Vision Research (CAVR) supported by the Korean Ministry of Science and Technology. He was the winner of the Annual Best Paper Award of the Korea Information Science Society in 1986. He obtained the First Outstanding Young Researcher Award at the Second International Conference on Document Analysis and Recognition in 1993, and the First Distinguished Research Professor Award from Chungbuk National University in 1994. He also obtained the Outstanding Research Award from the Korea Information Science Society in 1996. He has been the co-Editor-in-chief of the International Journal on Document Analysis and Recognition since 1998 and the associate editor of the Pattern Recognition Journal, the International Journal of Pattern Recognition and Artificial Intelligence, and the International Journal of Computer Processing of Oriental Languages since 1997. He was the Program co-chair of the Sixth International Workshop on Frontiers in Handwriting Recognition, the Second International Conference on Multimodal Interface, the 17th International Conference on Computer Processing of Oriental Languages, the Fifth International Conference on Document Analysis and Recognition, and the Seventh International Conference on Neural Information Processing. He was the conference co-chair of the Third International Workshop on Document Analysis Systems, the First IEEE International Workshop on Biologically Motivated Computer Vision, the First International Workshop on Pattern Recognition with Support Vector Machines, the Second International Workshop on Biologically Motivated Computer Vision, and the 6th IEEE International Conference on Automatic Face and Gesture Recognition. He served on the program committees of several well-known international conferences. He is a fellow of IAPR, a senior member of the IEEE Computer Society and a life member of the Korea Information Science Society and the Oriental Languages Computer Society. His research interests include pattern recognition, computer vision and neural networks. He has more than 200 publications on these areas in international journals and conference proceedings, and authored 10 books. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",

year = "2004",

month = apr,

doi = "10.1016/j.patcog.2003.07.012",

language = "English",

volume = "37",

pages = "767--779",

journal = "Pattern Recognition",

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T1 - Qualitative estimation of camera motion parameters from the linear composition of optical flow

AU - Park, Sang Cheol

AU - Lee, Hyoung Suk

AU - Lee, Seong Whan

N1 - Funding Information: This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea. Funding Information: This research was supported by a Korea University Grant. Funding Information: About the Author —SEONG-WHAN LEE received his B.S. degree in computer science and statistics from Seoul National University, Seoul, Korea, in 1984, the M.S. and Ph.D. degrees in computer science from KAIST in 1986 and 1989, respectively. From February 1989 to February 1995, he was an assistant professor in the Department of Computer Science at Chungbuk National University, Cheongju, Korea. In March 1995, he joined the faculty of the Department of Computer Science and Engineering at Korea University, Seoul, Korea, as an associate professor, and now he is a full professor. Currently, Dr. Lee is the director of National Creative Research Initiative Center for Artificial Vision Research (CAVR) supported by the Korean Ministry of Science and Technology. He was the winner of the Annual Best Paper Award of the Korea Information Science Society in 1986. He obtained the First Outstanding Young Researcher Award at the Second International Conference on Document Analysis and Recognition in 1993, and the First Distinguished Research Professor Award from Chungbuk National University in 1994. He also obtained the Outstanding Research Award from the Korea Information Science Society in 1996. He has been the co-Editor-in-chief of the International Journal on Document Analysis and Recognition since 1998 and the associate editor of the Pattern Recognition Journal, the International Journal of Pattern Recognition and Artificial Intelligence, and the International Journal of Computer Processing of Oriental Languages since 1997. He was the Program co-chair of the Sixth International Workshop on Frontiers in Handwriting Recognition, the Second International Conference on Multimodal Interface, the 17th International Conference on Computer Processing of Oriental Languages, the Fifth International Conference on Document Analysis and Recognition, and the Seventh International Conference on Neural Information Processing. He was the conference co-chair of the Third International Workshop on Document Analysis Systems, the First IEEE International Workshop on Biologically Motivated Computer Vision, the First International Workshop on Pattern Recognition with Support Vector Machines, the Second International Workshop on Biologically Motivated Computer Vision, and the 6th IEEE International Conference on Automatic Face and Gesture Recognition. He served on the program committees of several well-known international conferences. He is a fellow of IAPR, a senior member of the IEEE Computer Society and a life member of the Korea Information Science Society and the Oriental Languages Computer Society. His research interests include pattern recognition, computer vision and neural networks. He has more than 200 publications on these areas in international journals and conference proceedings, and authored 10 books. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2004/4

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N2 - In this paper, we propose a new method for estimating camera motion parameters based on optical flow models. Camera motion parameters are generated using linear combinations of optical flow models. The proposed method first creates these optical flow models, and then linear decompositions are performed on the input optical flows calculated from adjacent images in the video sequence, which are used to estimate the coefficients of each optical flow model. These coefficients are then applied to the parameters used to create each optical flow model, and the camera motion parameters implied in the adjacent images can be estimated through a linear composition of the weighted parameters.We demonstrated that the proposed method estimates the camera motion parameters accurately and at a low computational cost as well as robust to noise residing in the video sequence being analyzed.

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Qualitative estimation of camera motion parameters from the linear composition of optical flow

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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