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Virtual paint on DE2 FPGA board through gesture detection and color segmentation technique

Saad, Mohd Sallehudin (2014) Virtual paint on DE2 FPGA board through gesture detection and color segmentation technique. Masters thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

Object recognition and tracking with real-time smart camera plays an important role in many modern vision applications such as work force tracking, intelligence surveillance, fire detection and many more. This research will be present a FPGA-based digital control for a Virtual Paint. Virtual Paint project use DE2 board, 5 megapixel camera and a VGA Monitor, which is uses the camera to capture hand movements, so you can hand in the air painting and displayed on a LCD display, the whole process without using mouse or joystick like device. The main motivation of this project is to extract the gesture detection and color segmentation technique from CMOS camera sensor to perform virtual paint. The control algorithm will be using a verilog language based on the use of logical state diagram.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: Normajihan Abd. Rahman
Date Deposited: 30 Jun 2014 08:26
Last Modified: 30 Jun 2014 08:26
URI: http://eprints.uthm.edu.my/id/eprint/5512
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