Motion recovery by using dynamic vision

Xinkai Chen, Hiroyuki Kano

研究成果: Conference contribution

2 引用 (Scopus)

抄録

The recovery of motion for a class of movements in the space by using the perspective observation of one point is considered in this paper. The motion equation can cover a wide class of practical movements in the space. The estimations of the position and motion parameters which are all time-varying are simultaneously developed in the proposed algorithm. The formulated problem can be converted into the observation of a dynamical system with nonlinearities. The proposed observer is based on the second method of Lyapunov. First, the parameters relating to the rotation of the motion are identified, where only one camera is needed. Then the position of the moving object is identified, where the stereo vision is necessary. in the third step, the parameters relating to the straight movement are identified. The assumptions about the perspective system are reasonable, and the convergence conditions are intuitive and have apparently physical interpretations. The proposed method requires minor a priori knowledge about the system and can cope with a much more general class of perspective systems. Furthermore, the algorithm is modified to deal with the occlusion phenomenon.

元の言語English
ホスト出版物のタイトルIFAC Proceedings Volumes (IFAC-PapersOnline)
ページ1125-1130
ページ数6
16
出版物ステータスPublished - 2005
イベント16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague
継続期間: 2005 7 32005 7 8

Other

Other16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
Prague
期間05/7/305/7/8

Fingerprint

Recovery
Stereo vision
Equations of motion
Dynamical systems
Cameras

ASJC Scopus subject areas

  • Control and Systems Engineering

これを引用

Chen, X., & Kano, H. (2005). Motion recovery by using dynamic vision. : IFAC Proceedings Volumes (IFAC-PapersOnline) (巻 16, pp. 1125-1130)

Motion recovery by using dynamic vision. / Chen, Xinkai; Kano, Hiroyuki.

IFAC Proceedings Volumes (IFAC-PapersOnline). 巻 16 2005. p. 1125-1130.

研究成果: Conference contribution

Chen, X & Kano, H 2005, Motion recovery by using dynamic vision. : IFAC Proceedings Volumes (IFAC-PapersOnline). 巻. 16, pp. 1125-1130, 16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005, Prague, 05/7/3.
Chen X, Kano H. Motion recovery by using dynamic vision. : IFAC Proceedings Volumes (IFAC-PapersOnline). 巻 16. 2005. p. 1125-1130
Chen, Xinkai ; Kano, Hiroyuki. / Motion recovery by using dynamic vision. IFAC Proceedings Volumes (IFAC-PapersOnline). 巻 16 2005. pp. 1125-1130
@inproceedings{621e844329be475f9b56bb4729eb0960,
title = "Motion recovery by using dynamic vision",
abstract = "The recovery of motion for a class of movements in the space by using the perspective observation of one point is considered in this paper. The motion equation can cover a wide class of practical movements in the space. The estimations of the position and motion parameters which are all time-varying are simultaneously developed in the proposed algorithm. The formulated problem can be converted into the observation of a dynamical system with nonlinearities. The proposed observer is based on the second method of Lyapunov. First, the parameters relating to the rotation of the motion are identified, where only one camera is needed. Then the position of the moving object is identified, where the stereo vision is necessary. in the third step, the parameters relating to the straight movement are identified. The assumptions about the perspective system are reasonable, and the convergence conditions are intuitive and have apparently physical interpretations. The proposed method requires minor a priori knowledge about the system and can cope with a much more general class of perspective systems. Furthermore, the algorithm is modified to deal with the occlusion phenomenon.",
keywords = "Dynamic vision, Lyapunov method, Motion recovery, Occlusion, Perspective observation",
author = "Xinkai Chen and Hiroyuki Kano",
year = "2005",
language = "English",
isbn = "008045108X",
volume = "16",
pages = "1125--1130",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

}

TY - GEN

T1 - Motion recovery by using dynamic vision

AU - Chen, Xinkai

AU - Kano, Hiroyuki

PY - 2005

Y1 - 2005

N2 - The recovery of motion for a class of movements in the space by using the perspective observation of one point is considered in this paper. The motion equation can cover a wide class of practical movements in the space. The estimations of the position and motion parameters which are all time-varying are simultaneously developed in the proposed algorithm. The formulated problem can be converted into the observation of a dynamical system with nonlinearities. The proposed observer is based on the second method of Lyapunov. First, the parameters relating to the rotation of the motion are identified, where only one camera is needed. Then the position of the moving object is identified, where the stereo vision is necessary. in the third step, the parameters relating to the straight movement are identified. The assumptions about the perspective system are reasonable, and the convergence conditions are intuitive and have apparently physical interpretations. The proposed method requires minor a priori knowledge about the system and can cope with a much more general class of perspective systems. Furthermore, the algorithm is modified to deal with the occlusion phenomenon.

AB - The recovery of motion for a class of movements in the space by using the perspective observation of one point is considered in this paper. The motion equation can cover a wide class of practical movements in the space. The estimations of the position and motion parameters which are all time-varying are simultaneously developed in the proposed algorithm. The formulated problem can be converted into the observation of a dynamical system with nonlinearities. The proposed observer is based on the second method of Lyapunov. First, the parameters relating to the rotation of the motion are identified, where only one camera is needed. Then the position of the moving object is identified, where the stereo vision is necessary. in the third step, the parameters relating to the straight movement are identified. The assumptions about the perspective system are reasonable, and the convergence conditions are intuitive and have apparently physical interpretations. The proposed method requires minor a priori knowledge about the system and can cope with a much more general class of perspective systems. Furthermore, the algorithm is modified to deal with the occlusion phenomenon.

KW - Dynamic vision

KW - Lyapunov method

KW - Motion recovery

KW - Occlusion

KW - Perspective observation

UR - http://www.scopus.com/inward/record.url?scp=79960743714&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960743714&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79960743714

SN - 008045108X

SN - 9780080451084

VL - 16

SP - 1125

EP - 1130

BT - IFAC Proceedings Volumes (IFAC-PapersOnline)

ER -