A crowd video retrieval framework using generic descriptors
In the era of data mining and analytics, retrieval of crowd video with desired motion pattern segmentation plays a significant role in surveillance video management. The retrieval of crowd video with desired motion pattern segmentation poses challenges in finding generic descriptors to describe cro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academy Publisher
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87590/ http://psasir.upm.edu.my/id/eprint/87590/1/ABSTRACT.pdf |
| _version_ | 1848860464406069248 |
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| author | Wong, Pei Voon Mustapha, Norwati Affendey, Lilly Suriani Khalid, Fatimah |
| author_facet | Wong, Pei Voon Mustapha, Norwati Affendey, Lilly Suriani Khalid, Fatimah |
| author_sort | Wong, Pei Voon |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In the era of data mining and analytics, retrieval of crowd video with desired motion pattern segmentation plays a significant role in surveillance video management. The retrieval of crowd video with desired motion pattern segmentation poses challenges in finding generic
descriptors to describe crowd patterns and similarity matching. This paper presents a novel crowd video retrieval framework using generic descriptors to overcome the above challenges. The anticipated structure comprises of four core components, namely motion feature extraction,
group detection, learning generic descriptors, and crowd video retrieval. Results obtained indicate that the proposed framework can improve performance of crowd video retrieval compared with the existing crowd motions on CUHK Crowd Dataset. |
| first_indexed | 2025-11-15T12:45:39Z |
| format | Article |
| id | upm-87590 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:45:39Z |
| publishDate | 2020 |
| publisher | Academy Publisher |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-875902022-07-06T07:49:43Z http://psasir.upm.edu.my/id/eprint/87590/ A crowd video retrieval framework using generic descriptors Wong, Pei Voon Mustapha, Norwati Affendey, Lilly Suriani Khalid, Fatimah In the era of data mining and analytics, retrieval of crowd video with desired motion pattern segmentation plays a significant role in surveillance video management. The retrieval of crowd video with desired motion pattern segmentation poses challenges in finding generic descriptors to describe crowd patterns and similarity matching. This paper presents a novel crowd video retrieval framework using generic descriptors to overcome the above challenges. The anticipated structure comprises of four core components, namely motion feature extraction, group detection, learning generic descriptors, and crowd video retrieval. Results obtained indicate that the proposed framework can improve performance of crowd video retrieval compared with the existing crowd motions on CUHK Crowd Dataset. Academy Publisher 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87590/1/ABSTRACT.pdf Wong, Pei Voon and Mustapha, Norwati and Affendey, Lilly Suriani and Khalid, Fatimah (2020) A crowd video retrieval framework using generic descriptors. Journal of Computers, 31 (1). 34 - 45. ISSN 1796-203X http://www.csroc.org.tw/journal/ 10.3966/199115992020023101003 |
| spellingShingle | Wong, Pei Voon Mustapha, Norwati Affendey, Lilly Suriani Khalid, Fatimah A crowd video retrieval framework using generic descriptors |
| title | A crowd video retrieval framework using generic descriptors |
| title_full | A crowd video retrieval framework using generic descriptors |
| title_fullStr | A crowd video retrieval framework using generic descriptors |
| title_full_unstemmed | A crowd video retrieval framework using generic descriptors |
| title_short | A crowd video retrieval framework using generic descriptors |
| title_sort | crowd video retrieval framework using generic descriptors |
| url | http://psasir.upm.edu.my/id/eprint/87590/ http://psasir.upm.edu.my/id/eprint/87590/ http://psasir.upm.edu.my/id/eprint/87590/ http://psasir.upm.edu.my/id/eprint/87590/1/ABSTRACT.pdf |