Camera motion estimation by image feature analysis

Thitiporn Lertrusdachakul, Terumasa Aoki, Hiroshi Yasuda

研究成果: Conference article査読

3 被引用数 (Scopus)

抄録

In this paper, we propose an algorithm to characterize camera motion in video sequences based on image feature analysis. The approach predicts camera motion using spatio-temporal information obtained from tracking selected feature points throughout an image sequence. The spatio-temporal information provides the advantage of rich visual characteristic along a larger temporal scale over the traditional approaches, which tend to formulate computational methodologies on a few adjacent frames. The algorithm detects five basic camera motions of stationary, panning, tilting, zooming, and the combination of panning and tilting. We conduct the experiments to verify the proposed approach using real compressed video sequences. The experimental results have demonstrated the performance of proposed approach in determining camera motion.

本文言語English
ページ(範囲)618-625
ページ数8
ジャーナルLecture Notes in Computer Science
3687
PART II
DOI
出版ステータスPublished - 2005
外部発表はい
イベントThird International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom
継続期間: 2005 8 222005 8 25

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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