Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration
Image stabilisation aims to compensate and smoothen the effects of undesired trembling motion of cameras mounted on non‐static platforms. It becomes quite a challenging task in the case of moving platforms, such as ground vehicles, unmanned aerial vehicles, and handheld devices. Many satisfactory so...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-08-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2018.5368 |
| _version_ | 1797684717264306176 |
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| author | Adeel Yousaf Muhammad Shehzad Hanif Muhammad Jaleed Khan Mahboob Iqbal Khurram Khurshid |
| author_facet | Adeel Yousaf Muhammad Shehzad Hanif Muhammad Jaleed Khan Mahboob Iqbal Khurram Khurshid |
| author_sort | Adeel Yousaf |
| collection | DOAJ |
| description | Image stabilisation aims to compensate and smoothen the effects of undesired trembling motion of cameras mounted on non‐static platforms. It becomes quite a challenging task in the case of moving platforms, such as ground vehicles, unmanned aerial vehicles, and handheld devices. Many satisfactory solutions to the image stabilisation problem are proposed in the recent literature, but most of these methods are not adaptable for handling a wide range of intentional motions with minimum lag, especially in real‐time scenarios. In this study, the authors propose an online two‐dimensional image stabilisation technique based on dual motion vector integration, which is a novel adaptive motion smoothing technique that employs an average length of motion vectors to estimate the intentional motion. The overall computational cost of the proposed system is significantly reduced by employing frame‐shaking judgment that only allows processing of jittering frames. Promising experimental results have been obtained on challenging videos obtained from hand‐held and vehicle‐mounted cameras which demonstrate the robustness and effectiveness of the proposed technique against feature point mismatching and presence of moving objects within the scene at a frame rate of 30 frames per second. |
| first_indexed | 2024-03-12T00:33:47Z |
| format | Article |
| id | doaj.art-0738fb07c37d4b26ab7ed423367af7f1 |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:33:47Z |
| publishDate | 2019-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-0738fb07c37d4b26ab7ed423367af7f12023-09-15T10:01:39ZengWileyIET Computer Vision1751-96321751-96402019-08-0113546146810.1049/iet-cvi.2018.5368Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integrationAdeel Yousaf0Muhammad Shehzad Hanif1Muhammad Jaleed Khan2Mahboob Iqbal3Khurram Khurshid4Aeronautics and Astronautics DepartmentInstitute of Space TechnologyIslamabad44000PakistanDepartment of Electrical and Computer EngineeringKing Abdulaziz UniversityJeddah21589Saudi ArabiaWISP Lab, Electrical Engineering DepartmentInstitute of Space TechnologyIslamabad44000PakistanResearch & Development WingAdvanced Engineering Research OrganizationIslamabad44000PakistanWISP Lab, Electrical Engineering DepartmentInstitute of Space TechnologyIslamabad44000PakistanImage stabilisation aims to compensate and smoothen the effects of undesired trembling motion of cameras mounted on non‐static platforms. It becomes quite a challenging task in the case of moving platforms, such as ground vehicles, unmanned aerial vehicles, and handheld devices. Many satisfactory solutions to the image stabilisation problem are proposed in the recent literature, but most of these methods are not adaptable for handling a wide range of intentional motions with minimum lag, especially in real‐time scenarios. In this study, the authors propose an online two‐dimensional image stabilisation technique based on dual motion vector integration, which is a novel adaptive motion smoothing technique that employs an average length of motion vectors to estimate the intentional motion. The overall computational cost of the proposed system is significantly reduced by employing frame‐shaking judgment that only allows processing of jittering frames. Promising experimental results have been obtained on challenging videos obtained from hand‐held and vehicle‐mounted cameras which demonstrate the robustness and effectiveness of the proposed technique against feature point mismatching and presence of moving objects within the scene at a frame rate of 30 frames per second.https://doi.org/10.1049/iet-cvi.2018.5368adaptive dual motion vector integrationnonstatic platformsintentional motiontwo-dimensional image stabilisation techniquenovel adaptive motion smoothing techniquemotion vectors |
| spellingShingle | Adeel Yousaf Muhammad Shehzad Hanif Muhammad Jaleed Khan Mahboob Iqbal Khurram Khurshid Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration IET Computer Vision adaptive dual motion vector integration nonstatic platforms intentional motion two-dimensional image stabilisation technique novel adaptive motion smoothing technique motion vectors |
| title | Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration |
| title_full | Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration |
| title_fullStr | Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration |
| title_full_unstemmed | Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration |
| title_short | Robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration |
| title_sort | robust and computationally efficient online image stabilisation framework based on adaptive dual motion vector integration |
| topic | adaptive dual motion vector integration nonstatic platforms intentional motion two-dimensional image stabilisation technique novel adaptive motion smoothing technique motion vectors |
| url | https://doi.org/10.1049/iet-cvi.2018.5368 |
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