Tae-Yeon Jung

Efficient moving object segmentation algorithm for illumination change in surveillance system

An efficient algorithm to segment the moving object is very important in the surveillance system. In general, the change detection by comparing brightness value is a good and simple method, but it shows a poor performance under illumination change. Therefore, we propose the segmentation algorithm to extract effectively the object in spite of the illumination change. There are three modes to extract the object, the criteria of mode selection are both available background existence and illumination change. Then the object is finally obtained by using projection and the morphological operator in post-processing. Furthermore, the double binary method using the similarity of brightness value and spatial proximity is used to obtain more edge information. A good segmentation performance is demonstrated by the simulation result.

A Simple Estimation of the Rotation Parameter for the 2-Axes Stabilization System

The recent sight system requires high stabilization functions for the longer range of observation and the higher kill probability. To this end, it is necessary to compensate rotational disturbances which are not stabilized with the conventional 2-axes stabilization system. This paper proposes a simple method on the rotational motion estimation for the stabilization of the sight system.