Segmentation of GIS Object for Mobile Mapping System

Segmentation and tracking of objects in a 2D image sequence is an important and challenging field of wide usages including change detection, object-based video post production, content-based indexing and retrieval, surveillance. This paper proposes a novel hybrid method to segment the GIS object in DMI sequences using pyramid decomposition. The proposed method involves image enhancement strategy to hypothesis for foreground background identification and applying watershed transformation to achieve foreground background segmentation more effectively. The proposed method also uses image enhancement and denoising strategy to enhance the frameset to properly track the Object of interest in the given spatiotemporal data set using Gaussian filter. Pyramid decomposition based strategy is used to track the GIS object in sequential frame which involves DMI. Pixels having the highest gradient magnitude intensities (GMIs) correspond to watershed lines, which represent the region boundaries are tracked in subsequent frames. The object template is updated with the frame set to increase the tracking performance.