Recursive motion recovery based on dynamic vision

研究成果: Conference contribution

抜粋

The motion recovery for a class of movements in the space by using stereo vision is considered by observing at least three points in this paper. The considered motion equation can cover a wide class of practical movements in the space. The observability of this class of movement is clarified. The estimations of the motion parameters which are all time-varying are developed in the proposed algorithm based on the second method of Lyapunov. The assumptions about the perspective system are reasonable, and the convergence conditions are intuitive and have apparently physical interpretations. The proposed recursive algorithm requires minor a priori knowledge about the system and can alleviate the noises in the image data. Furthermore, the proposed algorithm is modified to deal with the occlusion phenomenon. Simulation results show the proposed algorithm is effective even in the presence of measurement noises.

元の言語English
ホスト出版物のタイトルProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
エディション1 PART 1
DOI
出版物ステータスPublished - 2008 12 1
イベント17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
継続期間: 2008 7 62008 7 11

出版物シリーズ

名前IFAC Proceedings Volumes (IFAC-PapersOnline)
番号1 PART 1
17
ISSN(印刷物)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Korea, Republic of
Seoul
期間08/7/608/7/11

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • これを引用

    Chen, X. (2008). Recursive motion recovery based on dynamic vision. : Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC (1 PART 1 版). (IFAC Proceedings Volumes (IFAC-PapersOnline); 巻数 17, 番号 1 PART 1). https://doi.org/10.3182/20080706-5-KR-1001.2938