Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/423459
Title: | FPGA Based Acceleration for Object Detection and Tracking Applications |
Researcher: | Praveenkumar, B |
Guide(s): | Eswaran, P |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | SRM Institute of Science and Technology |
Completed Date: | 2022 |
Abstract: | Advancements in image and video processing are growing over the years for industrial robots, autonomous vehicles, cryptography, surveillance, medical imaging and computer-human interaction applications. One of the major challenges in real-time image and video processing is the execution of complex functions and high computational tasks. To overcome this issue, a hardware acceleration of different filter algorithms for both image and video processing is implemented on Xilinx Zynq®-7000 System on-Chip (SoC) device consists of Dual-core Cortex -A9 processors which provides computing ability to perform with the help of software libraries using Vivado® High-Level Synthesis (HLS) newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/423459 |
Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 172.15 kB | Adobe PDF | View/Open |
02_preliminary page.pdf | 763.52 kB | Adobe PDF | View/Open | |
03_content.pdf | 481.76 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 432.93 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 422.76 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 884.19 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.46 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.19 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.6 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 150.74 kB | Adobe PDF | View/Open | |
12_annaxures.pdf | 329.4 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 189.52 kB | Adobe PDF | View/Open |
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