Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/69115
Title: SMARTEYE for human posture and activity monitoring Part 1
Authors: Soh, Pei Fang
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: The objective of this project is to research on methods to implement human detection, pose estimation, and activity recognition from pre-recorded 2-dimensional video sequences. A combination of techniques – the Edge Detection, Frame Differencing, Gaussian Mixture Models and Optical Flow – was used to achieve human detection. A bounding box is drawn onto the image region where the human is assumed to be by the human detection algorithm. The values of the bounding box were fed into the Convolutional Pose Machines to process a segment of the image for joint locations. The joint locations are then joined to form a skeletal figure, which can be used for human pose estimation. Based on a Fuzzy Inference System, the human activity being performed is determined. The experimental results of the implementation had shown improvements in various aspects of the human detection and activity recognition when compared against ground truth and prior work.
URI: http://hdl.handle.net/10356/69115
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 
FYP Report.pdf
  Restricted Access
1.91 MBAdobe PDFView/Open

Page view(s) 50

111
checked on Sep 30, 2020

Download(s) 50

20
checked on Sep 30, 2020

Google ScholarTM

Check

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