Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ECTI-CON51831.2021.9454735
DC Field | Value | |
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dc.title | Vision-based Drones Tracking Using Correlation Filters and Linear Integrated Multiple Model | |
dc.contributor.author | Sie, Jun Liang Niven | |
dc.contributor.author | Seah, Shao Xuan | |
dc.contributor.author | Chan, Jiaxiang Jalvin | |
dc.contributor.author | Yi, Jiahe | |
dc.contributor.author | Chew, Kim Hoe | |
dc.contributor.author | Chan, Teng Hooi | |
dc.contributor.author | Srigrarom, Sutthiphong | |
dc.contributor.author | Holzapfel, Florian | |
dc.contributor.author | Hesse, Henrik | |
dc.date.accessioned | 2021-07-30T08:42:14Z | |
dc.date.available | 2021-07-30T08:42:14Z | |
dc.date.issued | 2021-05-19 | |
dc.identifier.citation | Sie, Jun Liang Niven, Seah, Shao Xuan, Chan, Jiaxiang Jalvin, Yi, Jiahe, Chew, Kim Hoe, Chan, Teng Hooi, Srigrarom, Sutthiphong, Holzapfel, Florian, Hesse, Henrik (2021-05-19). Vision-based Drones Tracking Using Correlation Filters and Linear Integrated Multiple Model. IEEE Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. ScholarBank@NUS Repository. https://doi.org/10.1109/ECTI-CON51831.2021.9454735 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/195490 | |
dc.source | Elements | |
dc.type | Conference Paper | |
dc.date.updated | 2021-07-30T08:28:14Z | |
dc.contributor.department | CHINESE STUDIES | |
dc.contributor.department | TEMASEK LABORATORIES | |
dc.description.doi | 10.1109/ECTI-CON51831.2021.9454735 | |
dc.description.sourcetitle | IEEE Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology | |
dc.description.place | Thailand | |
dc.published.state | Unpublished | |
dc.description.redeposit | completed | |
Appears in Collections: | Staff Publications Elements |
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File | Description | Size | Format | Access Settings | Version | |
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Vision_based_drones_tracking_using_Integrated_Multiple_Filter__ICRA_2021_.pdf | 1.02 MB | Adobe PDF | OPEN | Post-print | View/Download |
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