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...

Full description

Saved in:
Bibliographic Details
Main Authors: Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali, Mohd Falfazli, Mat Jusof
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/5038/1/fkee-2013-azhani-AnalysisOfMotion.pdf
http://umpir.ump.edu.my/id/eprint/5038/
http://worldconferences.net/proceedings/aics2013/toc/papers_aics2013/A062%20-%20WAN%20NUR%20AZHANI%20-%20ANALYSIS%20OF%20MOTION%20DETECTION%20USING%20SOCIAL%20FORCE%20MODEL.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Pahang Al-Sultan Abdullah
Language: English
id my.ump.umpir.5038
record_format eprints
spelling my.ump.umpir.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
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
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/5038/1/fkee-2013-azhani-AnalysisOfMotion.pdf
http://umpir.ump.edu.my/id/eprint/5038/
http://worldconferences.net/proceedings/aics2013/toc/papers_aics2013/A062%20-%20WAN%20NUR%20AZHANI%20-%20ANALYSIS%20OF%20MOTION%20DETECTION%20USING%20SOCIAL%20FORCE%20MODEL.pdf
_version_ 1822916209335599104