Detecting and counting people in surveillance applications
A number of surveillance scenarios require the detection and tracking of people. Although person detection and counting systems are commercially available today, there is need for further research to address the challenges of real world scenarios. The focus of this work is the segmentation of groups...
| Autors principals: | , , , , |
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| Format: | Journal article |
| Idioma: | English |
| Publicat: |
2005
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| _version_ | 1826293234766184448 |
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| author | Liu, X Tu, P Rittscher, J Perera, A Krahnstoever, N |
| author_facet | Liu, X Tu, P Rittscher, J Perera, A Krahnstoever, N |
| author_sort | Liu, X |
| collection | OXFORD |
| description | A number of surveillance scenarios require the detection and tracking of people. Although person detection and counting systems are commercially available today, there is need for further research to address the challenges of real world scenarios. The focus of this work is the segmentation of groups of people into individuals. One relevant application of this algorithm is people counting. Experiments document that the presented approach leads to robust people counts. © 2005 IEEE. |
| first_indexed | 2024-03-07T03:26:58Z |
| format | Journal article |
| id | oxford-uuid:b9619c9e-aba6-4b0c-98ef-035f8f1b9b64 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T03:26:58Z |
| publishDate | 2005 |
| record_format | dspace |
| spelling | oxford-uuid:b9619c9e-aba6-4b0c-98ef-035f8f1b9b642022-03-27T05:02:27ZDetecting and counting people in surveillance applicationsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b9619c9e-aba6-4b0c-98ef-035f8f1b9b64EnglishSymplectic Elements at Oxford2005Liu, XTu, PRittscher, JPerera, AKrahnstoever, NA number of surveillance scenarios require the detection and tracking of people. Although person detection and counting systems are commercially available today, there is need for further research to address the challenges of real world scenarios. The focus of this work is the segmentation of groups of people into individuals. One relevant application of this algorithm is people counting. Experiments document that the presented approach leads to robust people counts. © 2005 IEEE. |
| spellingShingle | Liu, X Tu, P Rittscher, J Perera, A Krahnstoever, N Detecting and counting people in surveillance applications |
| title | Detecting and counting people in surveillance applications |
| title_full | Detecting and counting people in surveillance applications |
| title_fullStr | Detecting and counting people in surveillance applications |
| title_full_unstemmed | Detecting and counting people in surveillance applications |
| title_short | Detecting and counting people in surveillance applications |
| title_sort | detecting and counting people in surveillance applications |
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