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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/5038/1/fkee-2013-azhani-AnalysisOfMotion.pdf |
| _version_ | 1825821598636048384 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T11:43:58Z |
| format | Conference or Workshop Item |
| id | UMPir5038 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:43:58Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | UMPir50382018-03-14T07:39:10Z 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.. (Published) http://worldconferences.net/proceedings/aics2013/toc/papers_aics2013/A062%20-%20WAN%20NUR%20AZHANI%20-%20ANALYSIS%20OF%20MOTION%20DETECTION%20USING%20SOCIAL%20FORCE%20MODEL.pdf |
| 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 |
| title | 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_short | Analysis of Motion Detection using Social Force Model |
| title_sort | analysis of motion detection using social force model |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/5038/1/fkee-2013-azhani-AnalysisOfMotion.pdf |
| work_keys_str_mv | AT wannurazhaniwsamsudin analysisofmotiondetectionusingsocialforcemodel AT kamarulhawarighazali analysisofmotiondetectionusingsocialforcemodel AT mohdfalfazlimatjusof analysisofmotiondetectionusingsocialforcemodel |