Unsupervised action segmentation in videos with clustering algorithms

This project sought to develop a system that performs unsupervised action segmentation in videos. Users are able to perform feature extraction on a desired raw video file as preprocessing for action segmentation, followed by segmenting unlabelled instructional videos according to distinct acti...

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Bibliographic Details
Main Author: Lim, Isaac Sheng Yang
Other Authors: Yeo Chai Kiat
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/174834
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Institution: Nanyang Technological University
Language: English

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