Title :
Shapes to synchronize camera networks
Author :
Chang, Richard ; Ieng, Siohoi ; Benosman, Ryad
Author_Institution :
Inst. of Intell. Syst. & Robot.-CNRS, Univ. Pierre & Marie Curie-Paris 6, Paris
Abstract :
The synchronicity is a strong restriction that in some cases of wide applications can be difficult to obtain. This paper studies the methodology of using a non synchronized camera network. We consider the cases where the frequency of acquisition of each element of the network can be different. The following work introduces a new approach to retrieve the temporal synchronization from the multiple unsynchronized frames of a scene. The mathematical characterization of the 3D structure of scenes, is used as a tool to estimate synchronization value, combined with a statistical stratum. This paper presents experimental results on real data for each step of synchronization retrieval.
Keywords :
computer vision; image reconstruction; statistical analysis; 3D scene structure; multiple unsynchronized frames; nonsynchronized camera network; statistical stratum; temporal synchronization; Calibration; Chromium; Frequency synchronization; Image reconstruction; Intelligent robots; Intelligent systems; Layout; Robot vision systems; Shape; Smart cameras;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761042