SMARTEYE for human posture and activity monitoring Part 1

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 t...

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Main Author: Soh, Pei Fang
Other Authors: Deepu Rajan
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/69115
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-691152023-03-03T20:46:59Z SMARTEYE for human posture and activity monitoring Part 1 Soh, Pei Fang Deepu Rajan School of Computer Engineering DRNTU::Engineering 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. Bachelor of Engineering (Computer Science) 2016-11-07T02:16:17Z 2016-11-07T02:16:17Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/69115 en Nanyang Technological University 50 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Soh, Pei Fang
SMARTEYE for human posture and activity monitoring Part 1
description 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.
author2 Deepu Rajan
author_facet Deepu Rajan
Soh, Pei Fang
format Final Year Project
author Soh, Pei Fang
author_sort Soh, Pei Fang
title SMARTEYE for human posture and activity monitoring Part 1
title_short SMARTEYE for human posture and activity monitoring Part 1
title_full SMARTEYE for human posture and activity monitoring Part 1
title_fullStr SMARTEYE for human posture and activity monitoring Part 1
title_full_unstemmed SMARTEYE for human posture and activity monitoring Part 1
title_sort smarteye for human posture and activity monitoring part 1
publishDate 2016
url http://hdl.handle.net/10356/69115
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