Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/606206
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Video and Image Classification | |
dc.date.accessioned | 2024-12-11T10:05:32Z | - |
dc.date.available | 2024-12-11T10:05:32Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/606206 | - |
dc.format.extent | xiv, 133p. | |
dc.language | English | |
dc.relation | - | |
dc.rights | university | |
dc.title | Design and development of deep learning based system for human action recognition in aerial videos | |
dc.title.alternative | ||
dc.creator.researcher | Kapoor, Surbhi | |
dc.subject.keyword | Deep Learning | |
dc.subject.keyword | Human Action Recognition | |
dc.subject.keyword | Image Classification | |
dc.subject.keyword | Machine Learning | |
dc.subject.keyword | Object Detection | |
dc.description.note | Annexure 119p. Bibliography -121-133p. | |
dc.contributor.guide | Sharma, Akashdeep and Verma, Amandeep | |
dc.publisher.place | Chandigarh | |
dc.publisher.university | Panjab University | |
dc.publisher.institution | University Institute of Engineering and Technology | |
dc.date.registered | 2018 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2025 | |
dc.format.dimensions | - | |
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | University Institute of Engineering and Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 58.52 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.34 MB | Adobe PDF | View/Open | |
03_chapter 1.pdf | 502.15 kB | Adobe PDF | View/Open | |
04_chapter 2.pdf | 1.12 MB | Adobe PDF | View/Open | |
05_chapter 3.pdf | 465.94 kB | Adobe PDF | View/Open | |
06_chapter 4.pdf | 887.55 kB | Adobe PDF | View/Open | |
07_chapter 5.pdf | 1.47 MB | Adobe PDF | View/Open | |
08_chapter 6.pdf | 1.62 MB | Adobe PDF | View/Open | |
09_chapter 7.pdf | 37.84 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 561.65 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 95.6 kB | Adobe PDF | View/Open |
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