Segmenting of object in postprocessing stage in underwater video sequences under dynamic condition

Abstract

Information assimilation and dissemination is the major task and challenge in the new era of technology. There are many means of information storing. Underwater Videos and images reveal much information when they are analyzed. The proposed method uses Mixture of Gaussian as a basic model to segment the moving object under dynamic condition. The proposed method remove the motion of the underwater algae or plants which exists as background by checking the status of each foreground pixels in each frame and decides whether to be present as output or not in the post processing stage. Finally the output is compared with a validated ground truth.