Automatic selection and detection of visual landmarks using multiple segmentations

作者：Langdon Daniel^*; Soto Alvaro; Mery Domingo

来源：1st Pacific Rim Symposium on Image and Video Technology (PRSIVT 2006), 2006-12-10 to 2006-12-13.

Detection of visual landmarks is an important problem in the development of automated, vision-based agents working on unstructured environments. In this paper, we present an unsupervised approach to select and to detect landmarks in images coming from a video stream. Our approach integrates three main visual mechanisms: attention, area segmentation, and landmark characterization. In particular, we demonstrate that an incorrect segmentation of a landmark produces severe problems in the next steps of the analysis, and that by using multiple segmentation algorithms we can greatly increase the robustness of the system. We test our approach with encouraging results in two image sets taken in real world scenarios. We obtained a significant 52% increase in recognition when using the multiple segmentation approach with respect to using single segmentation algorithms.

• 出版日期2006