Automatic self-improvement scheme in optical flow-based motion estimation for sequential fisheye images

Arief Suryadi Satyawan, Junichi Hara, Hiroshi Watanabe

Research output: Contribution to journalArticle

Abstract

This paper aims to present an innovative design of motion estimation for sequential fisheye images. This design is an extended version of the original Lucas and Kanade's (LK) concept that used to design for calculating optical flow from general perspective images. The extended design consists of the LK concept and an additional self-improvement mechanism that automatically finds the maximum performance of the estimated motion. This extended scheme works much better than the original LK's idea or some block-based motion estimations. Moreover, to some extent, this proposed method is working extremely well to overcome some critical characteristics of the sequential fisheye images. These characteristics include distortion error on the fisheye image area, inconsistent brightness level, fluctuating number of object motion, changing the shape of object motion, or poor camera stability.

Original languageEnglish
Pages (from-to)20-35
Number of pages16
JournalITE Transactions on Media Technology and Applications
Volume7
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

Optical flows
Motion estimation
Luminance
Cameras

Keywords

  • Lucas and Kanade
  • Motion estimation
  • Optical flow
  • Self-improvement mechanism
  • Sequential fisheye images

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Graphics and Computer-Aided Design

Cite this

Automatic self-improvement scheme in optical flow-based motion estimation for sequential fisheye images. / Satyawan, Arief Suryadi; Hara, Junichi; Watanabe, Hiroshi.

In: ITE Transactions on Media Technology and Applications, Vol. 7, No. 1, 01.01.2019, p. 20-35.

Research output: Contribution to journalArticle

@article{a4e4ea1dfb0348e5aef0031fa0fa7801,
title = "Automatic self-improvement scheme in optical flow-based motion estimation for sequential fisheye images",
abstract = "This paper aims to present an innovative design of motion estimation for sequential fisheye images. This design is an extended version of the original Lucas and Kanade's (LK) concept that used to design for calculating optical flow from general perspective images. The extended design consists of the LK concept and an additional self-improvement mechanism that automatically finds the maximum performance of the estimated motion. This extended scheme works much better than the original LK's idea or some block-based motion estimations. Moreover, to some extent, this proposed method is working extremely well to overcome some critical characteristics of the sequential fisheye images. These characteristics include distortion error on the fisheye image area, inconsistent brightness level, fluctuating number of object motion, changing the shape of object motion, or poor camera stability.",
keywords = "Lucas and Kanade, Motion estimation, Optical flow, Self-improvement mechanism, Sequential fisheye images",
author = "Satyawan, {Arief Suryadi} and Junichi Hara and Hiroshi Watanabe",
year = "2019",
month = "1",
day = "1",
doi = "10.3169/mta.7.20",
language = "English",
volume = "7",
pages = "20--35",
journal = "ITE Transactions on Media Technology and Applications",
issn = "2186-7364",
publisher = "Institute of Image Information and Television Engineers",
number = "1",

}

TY - JOUR

T1 - Automatic self-improvement scheme in optical flow-based motion estimation for sequential fisheye images

AU - Satyawan, Arief Suryadi

AU - Hara, Junichi

AU - Watanabe, Hiroshi

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper aims to present an innovative design of motion estimation for sequential fisheye images. This design is an extended version of the original Lucas and Kanade's (LK) concept that used to design for calculating optical flow from general perspective images. The extended design consists of the LK concept and an additional self-improvement mechanism that automatically finds the maximum performance of the estimated motion. This extended scheme works much better than the original LK's idea or some block-based motion estimations. Moreover, to some extent, this proposed method is working extremely well to overcome some critical characteristics of the sequential fisheye images. These characteristics include distortion error on the fisheye image area, inconsistent brightness level, fluctuating number of object motion, changing the shape of object motion, or poor camera stability.

AB - This paper aims to present an innovative design of motion estimation for sequential fisheye images. This design is an extended version of the original Lucas and Kanade's (LK) concept that used to design for calculating optical flow from general perspective images. The extended design consists of the LK concept and an additional self-improvement mechanism that automatically finds the maximum performance of the estimated motion. This extended scheme works much better than the original LK's idea or some block-based motion estimations. Moreover, to some extent, this proposed method is working extremely well to overcome some critical characteristics of the sequential fisheye images. These characteristics include distortion error on the fisheye image area, inconsistent brightness level, fluctuating number of object motion, changing the shape of object motion, or poor camera stability.

KW - Lucas and Kanade

KW - Motion estimation

KW - Optical flow

KW - Self-improvement mechanism

KW - Sequential fisheye images

UR - http://www.scopus.com/inward/record.url?scp=85065085261&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065085261&partnerID=8YFLogxK

U2 - 10.3169/mta.7.20

DO - 10.3169/mta.7.20

M3 - Article

VL - 7

SP - 20

EP - 35

JO - ITE Transactions on Media Technology and Applications

JF - ITE Transactions on Media Technology and Applications

SN - 2186-7364

IS - 1

ER -