Target-focused video stabilization for human computer interaction

Hao Zhu; Qing You; Wenjie Chen

doi:10.1109/CCDC.2017.7978585

Target-focused video stabilization for human computer interaction

Hao Zhu, Qing You, Wenjie Chen

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

As an important task of video enhancement, a lot of video stabilization methods have been proposed. However in many real-world applications, especially the systems with human-computer interactions, existing methods only remove camera motion in stabilized frames, the remaining object motion will also lead to deviations in manual inputs. In this paper, we collect practical hand drawn bounding boxes which have been shown to contain serious errors. Then we propose a target-focused video stabilization method consisting of a proposal-based detection component and a tracking-based motion estimation component. The experiments demonstrate our method can remove camera jitter and target motion simultaneously, and also offer users a friendly and effective way to draw accurate target regions.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7688-7693
Number of pages	6
ISBN (Electronic)	9781509046560
DOIs	https://doi.org/10.1109/CCDC.2017.7978585
Publication status	Published - 12 Jul 2017
Event	29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China Duration: 28 May 2017 → 30 May 2017

Publication series

Name	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

Conference

Conference	29th Chinese Control and Decision Conference, CCDC 2017
Country/Territory	China
City	Chongqing
Period	28/05/17 → 30/05/17

Keywords

Human-computer Interactive
Object Proposal
Video Stabilization

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10.1109/CCDC.2017.7978585

Cite this

Zhu, H., You, Q., & Chen, W. (2017). Target-focused video stabilization for human computer interaction. In Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 (pp. 7688-7693). Article 7978585 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2017.7978585

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title = "Target-focused video stabilization for human computer interaction",

abstract = "As an important task of video enhancement, a lot of video stabilization methods have been proposed. However in many real-world applications, especially the systems with human-computer interactions, existing methods only remove camera motion in stabilized frames, the remaining object motion will also lead to deviations in manual inputs. In this paper, we collect practical hand drawn bounding boxes which have been shown to contain serious errors. Then we propose a target-focused video stabilization method consisting of a proposal-based detection component and a tracking-based motion estimation component. The experiments demonstrate our method can remove camera jitter and target motion simultaneously, and also offer users a friendly and effective way to draw accurate target regions.",

keywords = "Human-computer Interactive, Object Proposal, Video Stabilization",

author = "Hao Zhu and Qing You and Wenjie Chen",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",

year = "2017",

month = jul,

day = "12",

doi = "10.1109/CCDC.2017.7978585",

language = "English",

series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

address = "United States",

}

Zhu, H, You, Q & Chen, W 2017, Target-focused video stabilization for human computer interaction. in Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017., 7978585, Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Institute of Electrical and Electronics Engineers Inc., pp. 7688-7693, 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, 28/05/17. https://doi.org/10.1109/CCDC.2017.7978585

Target-focused video stabilization for human computer interaction. / Zhu, Hao; You, Qing; Chen, Wenjie.
Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 7688-7693 7978585 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Target-focused video stabilization for human computer interaction

AU - Zhu, Hao

AU - You, Qing

AU - Chen, Wenjie

PY - 2017/7/12

Y1 - 2017/7/12

N2 - As an important task of video enhancement, a lot of video stabilization methods have been proposed. However in many real-world applications, especially the systems with human-computer interactions, existing methods only remove camera motion in stabilized frames, the remaining object motion will also lead to deviations in manual inputs. In this paper, we collect practical hand drawn bounding boxes which have been shown to contain serious errors. Then we propose a target-focused video stabilization method consisting of a proposal-based detection component and a tracking-based motion estimation component. The experiments demonstrate our method can remove camera jitter and target motion simultaneously, and also offer users a friendly and effective way to draw accurate target regions.

AB - As an important task of video enhancement, a lot of video stabilization methods have been proposed. However in many real-world applications, especially the systems with human-computer interactions, existing methods only remove camera motion in stabilized frames, the remaining object motion will also lead to deviations in manual inputs. In this paper, we collect practical hand drawn bounding boxes which have been shown to contain serious errors. Then we propose a target-focused video stabilization method consisting of a proposal-based detection component and a tracking-based motion estimation component. The experiments demonstrate our method can remove camera jitter and target motion simultaneously, and also offer users a friendly and effective way to draw accurate target regions.

KW - Human-computer Interactive

KW - Object Proposal

KW - Video Stabilization

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U2 - 10.1109/CCDC.2017.7978585

DO - 10.1109/CCDC.2017.7978585

M3 - Conference contribution

AN - SCOPUS:85028064718

T3 - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

SP - 7688

EP - 7693

BT - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 29th Chinese Control and Decision Conference, CCDC 2017

Y2 - 28 May 2017 through 30 May 2017

ER -

Target-focused video stabilization for human computer interaction

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Keywords

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