Robust object tracking is required by many vision applications, and it will be useful for the motion analysis of moving object if we can not only track the object, but also make clear the corresponding relation of each part between consecutive frames. For this purpose, we propose a new method for moving object extraction and tracking based on the exclusive block matching. We build a cost matrix consisting of the similarities between the current frame's and the previous frame's blocks and obtain the corresponding relation by solving one-to-one matching as linear assignment problem. In addition, we can track the trajectory of occluded blocks by dealing with multi-frames simultaneously.
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Zhu LI, Kenichi YABUTA, Hitoshi KITAZAWA, "Exclusive Block Matching for Moving Object Extraction and Tracking" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 5, pp. 1263-1271, May 2010, doi: 10.1587/transinf.E93.D.1263.
Abstract: Robust object tracking is required by many vision applications, and it will be useful for the motion analysis of moving object if we can not only track the object, but also make clear the corresponding relation of each part between consecutive frames. For this purpose, we propose a new method for moving object extraction and tracking based on the exclusive block matching. We build a cost matrix consisting of the similarities between the current frame's and the previous frame's blocks and obtain the corresponding relation by solving one-to-one matching as linear assignment problem. In addition, we can track the trajectory of occluded blocks by dealing with multi-frames simultaneously.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1263/_p
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@ARTICLE{e93-d_5_1263,
author={Zhu LI, Kenichi YABUTA, Hitoshi KITAZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Exclusive Block Matching for Moving Object Extraction and Tracking},
year={2010},
volume={E93-D},
number={5},
pages={1263-1271},
abstract={Robust object tracking is required by many vision applications, and it will be useful for the motion analysis of moving object if we can not only track the object, but also make clear the corresponding relation of each part between consecutive frames. For this purpose, we propose a new method for moving object extraction and tracking based on the exclusive block matching. We build a cost matrix consisting of the similarities between the current frame's and the previous frame's blocks and obtain the corresponding relation by solving one-to-one matching as linear assignment problem. In addition, we can track the trajectory of occluded blocks by dealing with multi-frames simultaneously.},
keywords={},
doi={10.1587/transinf.E93.D.1263},
ISSN={1745-1361},
month={May},}
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TY - JOUR
TI - Exclusive Block Matching for Moving Object Extraction and Tracking
T2 - IEICE TRANSACTIONS on Information
SP - 1263
EP - 1271
AU - Zhu LI
AU - Kenichi YABUTA
AU - Hitoshi KITAZAWA
PY - 2010
DO - 10.1587/transinf.E93.D.1263
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2010
AB - Robust object tracking is required by many vision applications, and it will be useful for the motion analysis of moving object if we can not only track the object, but also make clear the corresponding relation of each part between consecutive frames. For this purpose, we propose a new method for moving object extraction and tracking based on the exclusive block matching. We build a cost matrix consisting of the similarities between the current frame's and the previous frame's blocks and obtain the corresponding relation by solving one-to-one matching as linear assignment problem. In addition, we can track the trajectory of occluded blocks by dealing with multi-frames simultaneously.
ER -