Bayesian estimation of common areas in multi-camera systems

被引：1
|
作者：
Szlavik, Zoltan [1 ]
Sziranyi, Tams [1 ]
机构：
[1] Hungarian Acad Sci, Budapest, Hungary
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词：
image matching; stereo vision;
D O I：
10.1109/ICIP.2006.312734
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1045 / +
页数：2
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