Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/428325
Title: | Vision Based Human Fall Detection Techniques for Intelligent Indoor Surveillance |
Researcher: | De, Anurag |
Guide(s): | Saha, Ashim and Kumar, Praveen |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | National Institute of Technology Agartala |
Completed Date: | 2022 |
Abstract: | Abstract Available |
Pagination: | xxii, 134p. |
URI: | http://hdl.handle.net/10603/428325 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 161.28 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 328.81 kB | Adobe PDF | View/Open | |
03_content.pdf | 89.44 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 89.1 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 358.18 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 600.85 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 611.2 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 680.09 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 528.69 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 543.13 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 94.65 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 150.71 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 206.62 kB | Adobe PDF | View/Open |
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