Zoomed Object Segmentation from Dynamic Scene Containing a Door

Accurately segmenting the moving objects from a sequence of captured video frames is a significant pre-condition for tracking and recognition of these moving objects. The challenge of segmenting the moving object is even harder when the background is dynamic and the camera used can change its zoom dynamically. Here, in this paper, we propose a new method to detect and segment moving object from a dynamic background, which contains moving multiple-leaf doors. In addition the proposed algorithm also takes care of dynamic zoom changes that can occur while shooting a scene. The proposed algorithm uses background-rebuilding with discrete door´s position to tackle moving multiple-leaf door backgrounds and image feature comparison to tackle changes in zoom. We have obtained good image sequence segmentation results with high processing speed.