Outlier Removal for Motion Tracking by Subspace Separation

Yasuyuki SUGAYA; Kenichi KANATANI

Outlier Removal for Motion Tracking by Subspace Separation

Yasuyuki SUGAYA, Kenichi KANATANI

Full Text Views

0

Cite this

Summary :

Many feature tracking algorithms have been proposed for motion segmentation, but the resulting trajectories are not necessarily correct. In this paper, we propose a technique for removing outliers based on the knowledge that correct trajectories are constrained to be in a subspace of their domain. We first fit an appropriate subspace to the detected trajectories using RANSAC and then remove outliers by considering the error behavior of actual video tracking. Using real video sequences, we demonstrate that our method can be applied if multiple motions exist in the scene. We also confirm that the separation accuracy is indeed improved by our method.

Publication: IEICE TRANSACTIONS on Information Vol.E86-D No.6 pp.1095-1102

Publication Date: 2003/06/01

Publicized

Online ISSN

DOI

Type of Manuscript: PAPER

Category: Image Processing, Image Pattern Recognition

Cite this

Copy

Yasuyuki SUGAYA, Kenichi KANATANI, "Outlier Removal for Motion Tracking by Subspace Separation" in IEICE TRANSACTIONS on Information, vol. E86-D, no. 6, pp. 1095-1102, June 2003, doi: .
Abstract: Many feature tracking algorithms have been proposed for motion segmentation, but the resulting trajectories are not necessarily correct. In this paper, we propose a technique for removing outliers based on the knowledge that correct trajectories are constrained to be in a subspace of their domain. We first fit an appropriate subspace to the detected trajectories using RANSAC and then remove outliers by considering the error behavior of actual video tracking. Using real video sequences, we demonstrate that our method can be applied if multiple motions exist in the scene. We also confirm that the separation accuracy is indeed improved by our method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e86-d_6_1095/_p

Copy

@ARTICLE{e86-d_6_1095,
author={Yasuyuki SUGAYA, Kenichi KANATANI, },
journal={IEICE TRANSACTIONS on Information},
title={Outlier Removal for Motion Tracking by Subspace Separation},
year={2003},
volume={E86-D},
number={6},
pages={1095-1102},
abstract={Many feature tracking algorithms have been proposed for motion segmentation, but the resulting trajectories are not necessarily correct. In this paper, we propose a technique for removing outliers based on the knowledge that correct trajectories are constrained to be in a subspace of their domain. We first fit an appropriate subspace to the detected trajectories using RANSAC and then remove outliers by considering the error behavior of actual video tracking. Using real video sequences, we demonstrate that our method can be applied if multiple motions exist in the scene. We also confirm that the separation accuracy is indeed improved by our method.},
keywords={},
doi={},
ISSN={},
month={June},}

Copy

TY - JOUR
TI - Outlier Removal for Motion Tracking by Subspace Separation
T2 - IEICE TRANSACTIONS on Information
SP - 1095
EP - 1102
AU - Yasuyuki SUGAYA
AU - Kenichi KANATANI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E86-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2003
AB - Many feature tracking algorithms have been proposed for motion segmentation, but the resulting trajectories are not necessarily correct. In this paper, we propose a technique for removing outliers based on the knowledge that correct trajectories are constrained to be in a subspace of their domain. We first fit an appropriate subspace to the detected trajectories using RANSAC and then remove outliers by considering the error behavior of actual video tracking. Using real video sequences, we demonstrate that our method can be applied if multiple motions exist in the scene. We also confirm that the separation accuracy is indeed improved by our method.
ER -