Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute Matching

Houari SABIRIN; Hiroshi SANKOH; Sei NAITO

doi:10.1587/transinf.2014EDP7313

Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute Matching

Houari SABIRIN, Hiroshi SANKOH, Sei NAITO

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This paper presents an automatic method to track soccer players in soccer video recorded from a single camera where the occurrence of pan-tilt-zoom can take place. The automatic object tracking is intended to support texture extraction in a free viewpoint video authoring application for soccer video. To ensure that the identity of the tracked object can be correctly obtained, background segmentation is performed and automatically removes commercial billboards whenever it overlaps with the soccer player. Next, object tracking is performed by an attribute matching algorithm for all objects in the temporal domain to find and maintain the correlation of the detected objects. The attribute matching process finds the best match between two objects in different frames according to their pre-determined attributes: position, size, dominant color and motion information. Utilizing these attributes, the experimental results show that the tracking process can handle occlusion problems such as occlusion involving more than three objects and occluded objects with similar color and moving direction, as well as correctly identify objects in the presence of camera movements.

Publication: IEICE TRANSACTIONS on Information Vol.E98-D No.8 pp.1580-1588

Publication Date: 2015/08/01

Publicized: 2015/05/14

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2014EDP7313

Type of Manuscript: PAPER

Category: Image Recognition, Computer Vision

Authors

Houari SABIRIN
  KDDI R&D Laboratories, Inc.
Hiroshi SANKOH
  KDDI R&D Laboratories, Inc.
Sei NAITO
  KDDI R&D Laboratories, Inc.

Keyword

free viewpoint, attribute matching, automatic object tracking, soccer video

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Houari SABIRIN, Hiroshi SANKOH, Sei NAITO, "Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute Matching" in IEICE TRANSACTIONS on Information, vol. E98-D, no. 8, pp. 1580-1588, August 2015, doi: 10.1587/transinf.2014EDP7313.
Abstract: This paper presents an automatic method to track soccer players in soccer video recorded from a single camera where the occurrence of pan-tilt-zoom can take place. The automatic object tracking is intended to support texture extraction in a free viewpoint video authoring application for soccer video. To ensure that the identity of the tracked object can be correctly obtained, background segmentation is performed and automatically removes commercial billboards whenever it overlaps with the soccer player. Next, object tracking is performed by an attribute matching algorithm for all objects in the temporal domain to find and maintain the correlation of the detected objects. The attribute matching process finds the best match between two objects in different frames according to their pre-determined attributes: position, size, dominant color and motion information. Utilizing these attributes, the experimental results show that the tracking process can handle occlusion problems such as occlusion involving more than three objects and occluded objects with similar color and moving direction, as well as correctly identify objects in the presence of camera movements.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2014EDP7313/_p

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@ARTICLE{e98-d_8_1580,
author={Houari SABIRIN, Hiroshi SANKOH, Sei NAITO, },
journal={IEICE TRANSACTIONS on Information},
title={Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute Matching},
year={2015},
volume={E98-D},
number={8},
pages={1580-1588},
abstract={This paper presents an automatic method to track soccer players in soccer video recorded from a single camera where the occurrence of pan-tilt-zoom can take place. The automatic object tracking is intended to support texture extraction in a free viewpoint video authoring application for soccer video. To ensure that the identity of the tracked object can be correctly obtained, background segmentation is performed and automatically removes commercial billboards whenever it overlaps with the soccer player. Next, object tracking is performed by an attribute matching algorithm for all objects in the temporal domain to find and maintain the correlation of the detected objects. The attribute matching process finds the best match between two objects in different frames according to their pre-determined attributes: position, size, dominant color and motion information. Utilizing these attributes, the experimental results show that the tracking process can handle occlusion problems such as occlusion involving more than three objects and occluded objects with similar color and moving direction, as well as correctly identify objects in the presence of camera movements.},
keywords={},
doi={10.1587/transinf.2014EDP7313},
ISSN={1745-1361},
month={August},}

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TY - JOUR
TI - Automatic Soccer Player Tracking in Single Camera with Robust Occlusion Handling Using Attribute Matching
T2 - IEICE TRANSACTIONS on Information
SP - 1580
EP - 1588
AU - Houari SABIRIN
AU - Hiroshi SANKOH
AU - Sei NAITO
PY - 2015
DO - 10.1587/transinf.2014EDP7313
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2015
AB - This paper presents an automatic method to track soccer players in soccer video recorded from a single camera where the occurrence of pan-tilt-zoom can take place. The automatic object tracking is intended to support texture extraction in a free viewpoint video authoring application for soccer video. To ensure that the identity of the tracked object can be correctly obtained, background segmentation is performed and automatically removes commercial billboards whenever it overlaps with the soccer player. Next, object tracking is performed by an attribute matching algorithm for all objects in the temporal domain to find and maintain the correlation of the detected objects. The attribute matching process finds the best match between two objects in different frames according to their pre-determined attributes: position, size, dominant color and motion information. Utilizing these attributes, the experimental results show that the tracking process can handle occlusion problems such as occlusion involving more than three objects and occluded objects with similar color and moving direction, as well as correctly identify objects in the presence of camera movements.
ER -