Extraction and Tracking Moving Objects in Detail Considering Visual Feature Constraint and Structure Constraint

Zhu LI; Yoichi TOMIOKA; Hitoshi KITAZAWA

doi:10.1587/transinf.E96.D.1171

Extraction and Tracking Moving Objects in Detail Considering Visual Feature Constraint and Structure Constraint

Zhu LI, Yoichi TOMIOKA, Hitoshi KITAZAWA

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Detailed tracking is required for many vision applications. A visual feature-based constraint underlies most conventional motion estimation methods. For example, optical flow methods assume that the brightness of each pixel is constant in two consecutive frames. However, it is difficult to realize accurate extraction and tracking using only visual feature information, because viewpoint changes and inconsistent illumination cause the visual features of some regions of objects to appear different in consecutive frames. A structure-based constraint of objects is also necessary for tracking. In the proposed method, both visual feature matching and structure matching are formulated as a linear assignment problem and then integrated.

Publication: IEICE TRANSACTIONS on Information Vol.E96-D No.5 pp.1171-1181

Publication Date: 2013/05/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E96.D.1171

Type of Manuscript: PAPER

Category: Image Recognition, Computer Vision

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Zhu LI, Yoichi TOMIOKA, Hitoshi KITAZAWA, "Extraction and Tracking Moving Objects in Detail Considering Visual Feature Constraint and Structure Constraint" in IEICE TRANSACTIONS on Information, vol. E96-D, no. 5, pp. 1171-1181, May 2013, doi: 10.1587/transinf.E96.D.1171.
Abstract: Detailed tracking is required for many vision applications. A visual feature-based constraint underlies most conventional motion estimation methods. For example, optical flow methods assume that the brightness of each pixel is constant in two consecutive frames. However, it is difficult to realize accurate extraction and tracking using only visual feature information, because viewpoint changes and inconsistent illumination cause the visual features of some regions of objects to appear different in consecutive frames. A structure-based constraint of objects is also necessary for tracking. In the proposed method, both visual feature matching and structure matching are formulated as a linear assignment problem and then integrated.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E96.D.1171/_p

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@ARTICLE{e96-d_5_1171,
author={Zhu LI, Yoichi TOMIOKA, Hitoshi KITAZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Extraction and Tracking Moving Objects in Detail Considering Visual Feature Constraint and Structure Constraint},
year={2013},
volume={E96-D},
number={5},
pages={1171-1181},
abstract={Detailed tracking is required for many vision applications. A visual feature-based constraint underlies most conventional motion estimation methods. For example, optical flow methods assume that the brightness of each pixel is constant in two consecutive frames. However, it is difficult to realize accurate extraction and tracking using only visual feature information, because viewpoint changes and inconsistent illumination cause the visual features of some regions of objects to appear different in consecutive frames. A structure-based constraint of objects is also necessary for tracking. In the proposed method, both visual feature matching and structure matching are formulated as a linear assignment problem and then integrated.},
keywords={},
doi={10.1587/transinf.E96.D.1171},
ISSN={1745-1361},
month={May},}

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TY - JOUR
TI - Extraction and Tracking Moving Objects in Detail Considering Visual Feature Constraint and Structure Constraint
T2 - IEICE TRANSACTIONS on Information
SP - 1171
EP - 1181
AU - Zhu LI
AU - Yoichi TOMIOKA
AU - Hitoshi KITAZAWA
PY - 2013
DO - 10.1587/transinf.E96.D.1171
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2013
AB - Detailed tracking is required for many vision applications. A visual feature-based constraint underlies most conventional motion estimation methods. For example, optical flow methods assume that the brightness of each pixel is constant in two consecutive frames. However, it is difficult to realize accurate extraction and tracking using only visual feature information, because viewpoint changes and inconsistent illumination cause the visual features of some regions of objects to appear different in consecutive frames. A structure-based constraint of objects is also necessary for tracking. In the proposed method, both visual feature matching and structure matching are formulated as a linear assignment problem and then integrated.
ER -