Please use this identifier to cite or link to this item:
Title: Human posture and action recognition
Authors: Lau, Melvin Eng Heok.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2009
Abstract: Digital image processing is a very interesting subject. Although it is a relatively new field in technology, digital image processing has impacted the everyday lives of people all around the world. From Adobe® Photoshop© to the use of webcams, digital image processing has been used by people from all walks of life, no matter if these people are professionals or not. However, there still exist many unexplored territories in digital image processing, especially with the techniques of pattern recognition. Therefore, it was the decision to base this project off MATLAB© 7.4, an engineering software which is commonly used for digital image processing applications. Learning to use MATLAB© was a very difficult task, but it was proven to be a good choice of software as it provided many powerful tools for image processing and had a very big and established online community to provide support. In this project, a couple of pattern recognition techniques was studied and slightly altered as a part of the exploration of a new pattern recognition technique, which was also used for human posture recognition. In this new technique, the author attempted to take an image pose and break it up into 4 different parts. Features, such as Zernike moments, were then extracted from these parts to be used for the recognition process. Tests were carried out in different test phases and in a modular manner. These test phases were mainly designed to ensure that the various components of the system worked individually, and also worked when integrated as a whole system. They were also designed to test the feasibility of this new technique, whether it was feasible or not to implement such a technique. Current results were satisfactory, but various problems, such as high processor utilisation, were identified when using this technique as well. The author feels that more improvements can be applied onto the project for better results.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
  Restricted Access
793.16 kBAdobe PDFView/Open

Page view(s) 20

checked on Oct 29, 2020

Download(s) 20

checked on Oct 29, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.