Face detection with multiple cameras
This work developed a framework for face detection in a dual-camera surveillance system consisting of an omnidirectional camera and four Pan-Tilt-Zoom (PTZ) cameras. The omnidirectional camera that provides a wide angle 360 degree field-of-view is used to detect a face. Next, the PTZ cameras that pr...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/10356/16929 |
| _version_ | 1824457007678095360 |
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| author | Kho, Anthony. |
| author2 | Chan Syin |
| author_facet | Chan Syin Kho, Anthony. |
| author_sort | Kho, Anthony. |
| collection | NTU |
| description | This work developed a framework for face detection in a dual-camera surveillance system consisting of an omnidirectional camera and four Pan-Tilt-Zoom (PTZ) cameras. The omnidirectional camera that provides a wide angle 360 degree field-of-view is used to detect a face. Next, the PTZ cameras that provide high resolution images will focus on the detected face such that the frontal area of the face can always be captured. |
| first_indexed | 2025-02-19T04:03:09Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/16929 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T04:03:09Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | ntu-10356/169292023-03-03T20:41:53Z Face detection with multiple cameras Kho, Anthony. Chan Syin School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision This work developed a framework for face detection in a dual-camera surveillance system consisting of an omnidirectional camera and four Pan-Tilt-Zoom (PTZ) cameras. The omnidirectional camera that provides a wide angle 360 degree field-of-view is used to detect a face. Next, the PTZ cameras that provide high resolution images will focus on the detected face such that the frontal area of the face can always be captured. Bachelor of Engineering (Computer Engineering) 2009-05-29T01:57:30Z 2009-05-29T01:57:30Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16929 en Nanyang Technological University 110 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Kho, Anthony. Face detection with multiple cameras |
| title | Face detection with multiple cameras |
| title_full | Face detection with multiple cameras |
| title_fullStr | Face detection with multiple cameras |
| title_full_unstemmed | Face detection with multiple cameras |
| title_short | Face detection with multiple cameras |
| title_sort | face detection with multiple cameras |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/16929 |
| work_keys_str_mv | AT khoanthony facedetectionwithmultiplecameras |