The State-of-the-Art in Handling Occlusions for Visual Object Tracking

Kourosh MESHGI; Shin ISHII

doi:10.1587/transinf.2014EDR0002

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The State-of-the-Art in Handling Occlusions for Visual Object Tracking

Kourosh MESHGI, Shin ISHII

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Summary :

This paper reports on the trending literature of occlusion handling in the task of online visual tracking. The discussion first explores visual tracking realm and pinpoints the necessity of dedicated attention to the occlusion problem. The findings suggest that although occlusion detection facilitated tracking impressively, it has been largely ignored. The literature further showed that the mainstream of the research is gathered around human tracking and crowd analysis. This is followed by a novel taxonomy of types of occlusion and challenges arising from it, during and after the emergence of an occlusion. The discussion then focuses on an investigation of the approaches to handle the occlusion in the frame-by-frame basis. Literature analysis reveals that researchers examined every aspect of a tracker design that is hypothesized as beneficial in the robust tracking under occlusion. State-of-the-art solutions identified in the literature involved various camera settings, simplifying assumptions, appearance and motion models, target state representations and observation models. The identified clusters are then analyzed and discussed, and their merits and demerits are explained. Finally, areas of potential for future research are presented.

Publication: IEICE TRANSACTIONS on Information Vol.E98-D No.7 pp.1260-1274

Publication Date: 2015/07/01

Publicized: 2015/03/27

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2014EDR0002

Type of Manuscript: SURVEY PAPER

Category: Image Recognition, Computer Vision

Authors

Kourosh MESHGI
Kyoto University
Shin ISHII
Kyoto University

Keyword

online visual tracking, occlusion detection, occlusion handling, occlusion reasoning

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Kourosh MESHGI, Shin ISHII, "The State-of-the-Art in Handling Occlusions for Visual Object Tracking" in IEICE TRANSACTIONS on Information, vol. E98-D, no. 7, pp. 1260-1274, July 2015, doi: 10.1587/transinf.2014EDR0002.
Abstract: This paper reports on the trending literature of occlusion handling in the task of online visual tracking. The discussion first explores visual tracking realm and pinpoints the necessity of dedicated attention to the occlusion problem. The findings suggest that although occlusion detection facilitated tracking impressively, it has been largely ignored. The literature further showed that the mainstream of the research is gathered around human tracking and crowd analysis. This is followed by a novel taxonomy of types of occlusion and challenges arising from it, during and after the emergence of an occlusion. The discussion then focuses on an investigation of the approaches to handle the occlusion in the frame-by-frame basis. Literature analysis reveals that researchers examined every aspect of a tracker design that is hypothesized as beneficial in the robust tracking under occlusion. State-of-the-art solutions identified in the literature involved various camera settings, simplifying assumptions, appearance and motion models, target state representations and observation models. The identified clusters are then analyzed and discussed, and their merits and demerits are explained. Finally, areas of potential for future research are presented.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014EDR0002/_p

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@ARTICLE{e98-d_7_1260,
author={Kourosh MESHGI, Shin ISHII, },
journal={IEICE TRANSACTIONS on Information},
title={The State-of-the-Art in Handling Occlusions for Visual Object Tracking},
year={2015},
volume={E98-D},
number={7},
pages={1260-1274},
abstract={This paper reports on the trending literature of occlusion handling in the task of online visual tracking. The discussion first explores visual tracking realm and pinpoints the necessity of dedicated attention to the occlusion problem. The findings suggest that although occlusion detection facilitated tracking impressively, it has been largely ignored. The literature further showed that the mainstream of the research is gathered around human tracking and crowd analysis. This is followed by a novel taxonomy of types of occlusion and challenges arising from it, during and after the emergence of an occlusion. The discussion then focuses on an investigation of the approaches to handle the occlusion in the frame-by-frame basis. Literature analysis reveals that researchers examined every aspect of a tracker design that is hypothesized as beneficial in the robust tracking under occlusion. State-of-the-art solutions identified in the literature involved various camera settings, simplifying assumptions, appearance and motion models, target state representations and observation models. The identified clusters are then analyzed and discussed, and their merits and demerits are explained. Finally, areas of potential for future research are presented.},
keywords={},
doi={10.1587/transinf.2014EDR0002},
ISSN={1745-1361},
month={July},}

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TY - JOUR
TI - The State-of-the-Art in Handling Occlusions for Visual Object Tracking
T2 - IEICE TRANSACTIONS on Information
SP - 1260
EP - 1274
AU - Kourosh MESHGI
AU - Shin ISHII
PY - 2015
DO - 10.1587/transinf.2014EDR0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2015
AB - This paper reports on the trending literature of occlusion handling in the task of online visual tracking. The discussion first explores visual tracking realm and pinpoints the necessity of dedicated attention to the occlusion problem. The findings suggest that although occlusion detection facilitated tracking impressively, it has been largely ignored. The literature further showed that the mainstream of the research is gathered around human tracking and crowd analysis. This is followed by a novel taxonomy of types of occlusion and challenges arising from it, during and after the emergence of an occlusion. The discussion then focuses on an investigation of the approaches to handle the occlusion in the frame-by-frame basis. Literature analysis reveals that researchers examined every aspect of a tracker design that is hypothesized as beneficial in the robust tracking under occlusion. State-of-the-art solutions identified in the literature involved various camera settings, simplifying assumptions, appearance and motion models, target state representations and observation models. The identified clusters are then analyzed and discussed, and their merits and demerits are explained. Finally, areas of potential for future research are presented.
ER -