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EnglishThis paper describes a sensor for autonomous surveillance capable of continuously monitoring the environment, while acquiring detailed images of specific areas. This is achieved by exploiting an omnidirectional camera and a PTZ camera, assembled together on a single mount. The two cameras form a single vision sensor, since data obtained processing the two images are used in a cooperative way. This system solves the problem affecting systems based on PTZ cameras only, since it does not exist a tracking system working reliably on PTZ images: the problem is solved here by performing the tracking in the omnidirectional image. This vision sensor is used in a surveillance application, that detects moving objects, and records all the faces of the people walking close to the sensor. It could be used to navigate or instruct a security or a service mobile robot.
| Titolo: | Cooperative Tracking of Moving Objects and Face Detection with a Dual Camera Sensor | |
| Autori: | ||
| Data di pubblicazione: | 2010 | |
| Abstract: | This paper describes a sensor for autonomous surveillance capable of continuously monitoring the environment, while acquiring detailed images of specific areas. This is achieved by exploiting an omnidirectional camera and a PTZ camera, assembled together on a single mount. The two cameras form a single vision sensor, since data obtained processing the two images are used in a cooperative way. This system solves the problem affecting systems based on PTZ cameras only, since it does not exist a tracking system working reliably on PTZ images: the problem is solved here by performing the tracking in the omnidirectional image. This vision sensor is used in a surveillance application, that detects moving objects, and records all the faces of the people walking close to the sensor. It could be used to navigate or instruct a security or a service mobile robot. | |
| Handle: | http://hdl.handle.net/11577/2419856 | |
| ISBN: | 9781424450381 | |
| Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
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http://hdl.handle.net/11577/2419856
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