Title :
Bayesian Estimation of Common Areas in Multi-Camera Systems
Author :
Szldvik, Z. ; Szirdnyi, T.
Author_Institution :
Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
In the paper a new Bayesian method is presented for the automatic extraction of common areas of images in multi-camera systems through the detection of concurrently changing pixels. Unlike existing still-image and motion-based methods our approach does not need any a priori information about the scene, the appearance of objects in the scene, or their motion. The method is validated by demonstrating its successful use on several real-life outdoor stereo video image-sequence pairs.
Keywords :
Bayes methods; feature extraction; image sequences; stereo image processing; video cameras; video signal processing; Bayesian estimation; common areas extraction; multicamera system; pixel detection; stereo video image-sequence pair; Bayesian methods; Cameras; Data mining; Humans; Layout; Pixel; Robustness; Shape; Statistics; Stereo vision; Image matching; stereo vision;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312734
