Outdoor Dynamic Scene Video Object Segmentation Using SRM Algorithm
In video surveillance, image segmentation in outdoor scenes is a most important and complex task. A novel approach for video object segmentation in outdoor environment is described by using SRM (Statistical Region Merging) algorithm in this paper. Here the authors are going to identify both structured (e.g. persons, buildings, car, etc.) and unstructured background objects (e.g. sky, road, grass, etc.) which are containing the some characteristic based on color, intensity and texture in sequence. This paper is to solve the over segmentation of objects while segmenting images in outdoor environment in a video surveillance system.