Motion detection using Nvidia Jetson platfom
Motion Detection is a popular subject of research in the field of image processing. There have been many versions of this process produced to cater for the various applications that require the analysis of motion. The most common application that requires motion detection is security surveillance...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/75210 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Motion Detection is a popular subject of research in the field of image processing.
There have been many versions of this process produced to cater for the various
applications that require the analysis of motion. The most common application that
requires motion detection is security surveillance. A PIR sensor is commonly found in
intruder alarm systems. Other applications include automation and human-machine
interaction. Examples of these are the video consoles that make use of real-time video
feedback to enable a function in the game. This can be found in systems like the
Nintendo Wii and Microsoft Kinect. There are many techniques and methods created
for this purpose of segmenting moving objects. Traditional approaches consist of using
histograms analysis, gaussian models, estimation models and support vector models to
create the background frame. This project will utilize a computer vision library to build
a system that will allow the user to perform background subtraction in real-time. The
system is built on an Nvidia Jetson TX2, which is a mini low-powered embedded
device that is capable of offering real time responsiveness and low latency. |
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