Inland Ship Recognition Algorithm Based on Neighboring Static Region Substitution for Background Updating

Considering the particular scene that the moving ships in Inland River are surrounded by the nearly static water, this paper presents a method that updates the background by adopting the neighboring static region to replace the dynamic areas. By making the difference between the current frame and the background image to get the foreground area, and using the region growing algorithm to shape a complete ship region, we can get the coordinate, the center point and the direction of its movement. To obtain its mean gray value to replace the foreground dynamic region, we choose a static adjacent background at front-end of the ship. Then we adopt a variable weight method to update background in order to prepare for the next image proceeding background difference calculation. As the loop goes on, we can make fast and accurate ship image identification from the surveillance streaming media.