| dc.creator |
Vezzani, R |
|
| dc.creator |
Cucchiara, R |
|
| dc.creator |
Malizia, A |
|
| dc.creator |
Cinque, L |
|
| dc.date |
2014-04-23T13:58:24Z |
|
| dc.date |
2014-04-23T13:58:24Z |
|
| dc.date |
2006 |
|
| dc.date.accessioned |
2022-05-25T14:30:55Z |
|
| dc.date.available |
2022-05-25T14:30:55Z |
|
| dc.identifier |
IEEE International Conference on Video and Signal Based Surveillance (AVSS'06), Sydney, Australia, Nov 2006 |
|
| dc.identifier |
0-7695-2688-8 |
|
| dc.identifier |
http://bura.brunel.ac.uk/handle/2438/8332 |
|
| dc.identifier |
http://dx.doi.org/10.1109/AVSS.2006.2 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/170928 |
|
| dc.description |
Copyright @ 2006 IEEE |
|
| dc.description |
In this paper we present a distributed videosurveillance framework. Our end is the remote monitoring of the behavior of people moving in a scene exploiting a virtual reconstruction on low capabilities devices, like PDAs and cell phones. The main novelty of this system is the effective integration of the computer vision and computer graphics modules. The first, using a probabilistic frameworks, can detect the position, the trajectory and the posture of peoples moving in the scene. The second exploits the new possibility of both standard 3D graphics libraries on mobile (namely JSR184 and M3G graphic format) and new PDAs processing capability in order to reconstruct the remote surveillance data in real-time. |
|
| dc.language |
en |
|
| dc.publisher |
IEEE |
|
| dc.subject |
Surveillance data extraction |
|
| dc.subject |
3D virtual environment |
|
| dc.subject |
Distributed videosurveillance |
|
| dc.subject |
Automatic video surveillance module |
|
| dc.title |
3-D virtual environments on mobile devices for remote surveillance |
|
| dc.type |
Conference Paper |
|