Analysis of Motion Detection using Social Force Model

Crowd behaviour detection is becoming a significant research topic in surveillance system in public places. This paper presents a method for the detection of abnormality in crowded scenes based on Social Force Model. For this purpose, Horn-Schunck optical flow is used in order to find the flow vecto...

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Main Authors:	Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali, Mohd Falfazli, Mat Jusof
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/5038/ http://umpir.ump.edu.my/id/eprint/5038/ http://umpir.ump.edu.my/id/eprint/5038/1/fkee-2013-azhani-AnalysisOfMotion.pdf

id	ump-5038
recordtype	eprints
spelling	ump-50382018-03-14T07:39:10Z http://umpir.ump.edu.my/id/eprint/5038/ Analysis of Motion Detection using Social Force Model Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali Mohd Falfazli, Mat Jusof TK Electrical engineering. Electronics Nuclear engineering Crowd behaviour detection is becoming a significant research topic in surveillance system in public places. This paper presents a method for the detection of abnormality in crowded scenes based on Social Force Model. For this purpose, Horn-Schunck optical flow is used in order to find the flow vector for all video frames. Using the vectors from this method, the interaction forces for each particle in video frames is calculated based on Social Force Model algorithm. The abnormal and normal frames are then classified by using a bag of words approach, whereby the region of anomalies in the abnormal frames are localized using interaction forces obtained in the previous experiment. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5038/1/fkee-2013-azhani-AnalysisOfMotion.pdf Wan Nur Azhani, W. Samsudin and Kamarul Hawari, Ghazali and Mohd Falfazli, Mat Jusof (2013) Analysis of Motion Detection using Social Force Model. In: Proceeding of the International Conference on Artificial Intelligence and Computer Science 2013, 25-26 November 2013 , Bayview, Langkawi, Kedah. pp. 227-233.. http://worldconferences.net/proceedings/aics2013/toc/papers_aics2013/A062%20-%20WAN%20NUR%20AZHANI%20-%20ANALYSIS%20OF%20MOTION%20DETECTION%20USING%20SOCIAL%20FORCE%20MODEL.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali Mohd Falfazli, Mat Jusof Analysis of Motion Detection using Social Force Model
description	Crowd behaviour detection is becoming a significant research topic in surveillance system in public places. This paper presents a method for the detection of abnormality in crowded scenes based on Social Force Model. For this purpose, Horn-Schunck optical flow is used in order to find the flow vector for all video frames. Using the vectors from this method, the interaction forces for each particle in video frames is calculated based on Social Force Model algorithm. The abnormal and normal frames are then classified by using a bag of words approach, whereby the region of anomalies in the abnormal frames are localized using interaction forces obtained in the previous experiment.
format	Conference or Workshop Item
author	Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali Mohd Falfazli, Mat Jusof
author_facet	Wan Nur Azhani, W. Samsudin Kamarul Hawari, Ghazali Mohd Falfazli, Mat Jusof
author_sort	Wan Nur Azhani, W. Samsudin
title	Analysis of Motion Detection using Social Force Model
title_short	Analysis of Motion Detection using Social Force Model
title_full	Analysis of Motion Detection using Social Force Model
title_fullStr	Analysis of Motion Detection using Social Force Model
title_full_unstemmed	Analysis of Motion Detection using Social Force Model
title_sort	analysis of motion detection using social force model
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/5038/ http://umpir.ump.edu.my/id/eprint/5038/ http://umpir.ump.edu.my/id/eprint/5038/1/fkee-2013-azhani-AnalysisOfMotion.pdf
first_indexed	2023-09-18T22:00:08Z
last_indexed	2023-09-18T22:00:08Z
_version_	1777414343275577344

Analysis of Motion Detection using Social Force Model

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