ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING

Scene understanding is a process observing scenes which humans are used as models to understand them. This project is focused on analyzing the classification process for video scene. The algorithm used in this project will later be evaluated to see its performance. The process starts with human acti...

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Main Author: MOHD RASHDAN, NURUL FARAH
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20188 /
Published: IRC 2019
Online Access: http://utpedia.utp.edu.my/20188/1/FYP%20II%20-%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/20188/
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id utp-utpedia.20188
recordtype eprints
spelling utp-utpedia.201882019-12-20T16:12:59Z http://utpedia.utp.edu.my/20188/ ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING MOHD RASHDAN, NURUL FARAH Scene understanding is a process observing scenes which humans are used as models to understand them. This project is focused on analyzing the classification process for video scene. The algorithm used in this project will later be evaluated to see its performance. The process starts with human action video obtained from KTH dataset as the input for video processing. In the frame process, important information will be extracted from the video images accordance to frame sequence where Spatial Temporal -Interest-Point (STIP) is used based on Harris’ Corner detection. The human motions will then be classified by utilizing K-Nearest Neighbor (K-NN) method into their desired group of actions such as walking, running, or clapping. K-NN is an effective classifier since it works well with small datasets. However, K-NN does not work well with large datasets because it required longer timeframe. IRC 2019-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20188/1/FYP%20II%20-%20Final%20Dissertation.pdf MOHD RASHDAN, NURUL FARAH (2019) ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
description Scene understanding is a process observing scenes which humans are used as models to understand them. This project is focused on analyzing the classification process for video scene. The algorithm used in this project will later be evaluated to see its performance. The process starts with human action video obtained from KTH dataset as the input for video processing. In the frame process, important information will be extracted from the video images accordance to frame sequence where Spatial Temporal -Interest-Point (STIP) is used based on Harris’ Corner detection. The human motions will then be classified by utilizing K-Nearest Neighbor (K-NN) method into their desired group of actions such as walking, running, or clapping. K-NN is an effective classifier since it works well with small datasets. However, K-NN does not work well with large datasets because it required longer timeframe.
format Final Year Project
author MOHD RASHDAN, NURUL FARAH
spellingShingle MOHD RASHDAN, NURUL FARAH
ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
author_sort MOHD RASHDAN, NURUL FARAH
title ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
title_short ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
title_full ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
title_fullStr ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
title_full_unstemmed ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
title_sort analysis of classification process for video scene understanding
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20188/1/FYP%20II%20-%20Final%20Dissertation.pdf
http://utpedia.utp.edu.my/20188/
_version_ 1741195587720577024
score 11.62408

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