Analytical dynamic programming tracker

Seiichi Uchida, Ikko Fujimura, Hiroki Kawano, Yaokai Feng

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

6 被引用数 (Scopus)

抄録

Visual tracking is formulated as an optimization problem of the position of a target object on video frames. This paper proposes a new tracking method based on dynamic programming (DP). Conventional DP-based tracking methods have utilized DP as an efficient breadth-first search algorithm. Thus, their computational complexity becomes prohibitive if the search breadth becomes large according to the increase of the number of parameters to be optimized. In contrast, the proposed method can avoid this problem by utilizing DP as an analytical solver rather than the conventional breadth-first search algorithm. In addition to experimental evaluations, it will be revealed that the proposed method has a close relation to the well-known KLT tracker.

本文言語英語
ホスト出版物のタイトルComputer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers
ページ296-309
ページ数14
PART 1
DOI
出版ステータス出版済み - 3 16 2011
イベント10th Asian Conference on Computer Vision, ACCV 2010 - Queenstown, ニュージ―ランド
継続期間: 11 8 201011 12 2010

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
6492 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他10th Asian Conference on Computer Vision, ACCV 2010
Countryニュージ―ランド
CityQueenstown
Period11/8/1011/12/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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