Please use this identifier to cite or link to this item:
Title: Activity recognition I
Authors: Chen, Jichao
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: Human being with mature brain have powerful ability in observation, recognition and understanding of the biological movements especially human actions. With the assistance of eyes to capture the visual information, the human can recognise a group of people are dancing or a boy is stretching himself. Howbeit, it seems difficult for a computer to understand human activities. The purpose of this project is to develop a system which can parse a image sequence containing a human activity and identity the activity. The system employed the Motion History Image method, an template matching approach, as the two dimensional description of the human activity. The system also makes use of Local Binary Pattern operator to establish a responsible measurement for training and recognition processes. The project mainly incorporate the two method to implement a robust system for single person activity recognition.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Final Report (Chen Jichao).pdf
  Restricted Access
2.23 MBAdobe PDFView/Open

Page view(s)

Updated on Sep 23, 2023

Download(s) 50

Updated on Sep 23, 2023

Google ScholarTM


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