Tracking performances of eye-vergence visual servoing system under different light condition with evolutionary pose tracking

Hongzhi Tian; Yejun Kou; Ryuki Funakubo; Mamoru Minami

doi:10.1109/SII.2016.7844059

Tracking performances of eye-vergence visual servoing system under different light condition with evolutionary pose tracking

Hongzhi Tian, Yejun Kou, Ryuki Funakubo, Mamoru Minami

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

1 Citation (Scopus)

Abstract

People have a strong ability to adapt to the changes of light. And light changes in the natural environment is inevitable. In the past we have proposed eye-vergence visual servoing system. However we did not know how it performs in dark or bright environment. If a visual servoing system has a higher light environmental robustness it will have a wider range of application. Therefore we design tracking experiments under different illumination and partial occlusion condition. Though the experiment it is verified that the system is not easily affected by ambient brightness and can continually track the object. Compared with the partial occlusion condition, the influence of changing of light condition is smaller.

Original language	English
Title of host publication	SII 2016 - 2016 IEEE/SICE International Symposium on System Integration
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	568-573
Number of pages	6
ISBN (Electronic)	9781509033294
DOIs	https://doi.org/10.1109/SII.2016.7844059
Publication status	Published - Feb 6 2017
Event	2016 IEEE/SICE International Symposium on System Integration, SII 2016 - Sapporo, Japan Duration: Dec 13 2016 → Dec 15 2016

Other

Other	2016 IEEE/SICE International Symposium on System Integration, SII 2016
Country	Japan
City	Sapporo
Period	12/13/16 → 12/15/16

ASJC Scopus subject areas

Biomedical Engineering
Control and Systems Engineering
Mechanical Engineering
Artificial Intelligence
Hardware and Architecture
Control and Optimization

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Tian, H., Kou, Y., Funakubo, R., & Minami, M. (2017). Tracking performances of eye-vergence visual servoing system under different light condition with evolutionary pose tracking. In SII 2016 - 2016 IEEE/SICE International Symposium on System Integration (pp. 568-573). [7844059] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SII.2016.7844059

Tracking performances of eye-vergence visual servoing system under different light condition with evolutionary pose tracking. / Tian, Hongzhi; Kou, Yejun; Funakubo, Ryuki; Minami, Mamoru.

SII 2016 - 2016 IEEE/SICE International Symposium on System Integration. Institute of Electrical and Electronics Engineers Inc., 2017. p. 568-573 7844059.

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

Tian, H, Kou, Y, Funakubo, R & Minami, M 2017, Tracking performances of eye-vergence visual servoing system under different light condition with evolutionary pose tracking. in SII 2016 - 2016 IEEE/SICE International Symposium on System Integration., 7844059, Institute of Electrical and Electronics Engineers Inc., pp. 568-573, 2016 IEEE/SICE International Symposium on System Integration, SII 2016, Sapporo, Japan, 12/13/16. https://doi.org/10.1109/SII.2016.7844059

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abstract = "People have a strong ability to adapt to the changes of light. And light changes in the natural environment is inevitable. In the past we have proposed eye-vergence visual servoing system. However we did not know how it performs in dark or bright environment. If a visual servoing system has a higher light environmental robustness it will have a wider range of application. Therefore we design tracking experiments under different illumination and partial occlusion condition. Though the experiment it is verified that the system is not easily affected by ambient brightness and can continually track the object. Compared with the partial occlusion condition, the influence of changing of light condition is smaller.",

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Tracking performances of eye-vergence visual servoing system under different light condition with evolutionary pose tracking

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