Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration-Reference-Cited by-同舟云学术

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Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration

Published:2019-06-28 Issue:5 Volume:13 Page:461-468
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Yousaf Adeel¹,Hanif Muhammad Shehzad²,Khan Muhammad Jaleed³,Iqbal Mahboob⁴,Khurshid Khurram³

Affiliation:

1. Aeronautics and Astronautics DepartmentInstitute of Space TechnologyIslamabad44000Pakistan

2. Department of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia

3. WISP Lab, Electrical Engineering DepartmentInstitute of Space TechnologyIslamabad44000Pakistan

4. Research & Development WingAdvanced Engineering Research OrganizationIslamabad44000Pakistan

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5368

Reference56 articles.

1. Moving object detection and tracking from video captured by moving camera

2. A General Framework for Tracking Multiple People from a Moving Camera

3. Real‐time on‐line video object segmentation based on motion detection without background construction;Hu W.‐C.;Int. J. Innov. Comput. Inf. Control,2011

4. Robust real-time ship detection and tracking for visual surveillance of cage aquaculture

5. Effective moving object detection from videos captured by a moving camera;Hu W.C.;Intell. Data Anal. Appl.,2014

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