Extracting moving / Static objects of interest in video

Abstract

Extracting objects of interest in video is a challenging task that can improve the performance of video compression and retrieval. Usually moving objects in video were considered as objects of interest, so there were many researches to extract them. However, we know that some non-moving (static) objects also can be objects of interest. A segmentation method is proposed in this paper, which extracts static objects as well as moving objects that are likely to attract human's interest. An object of interest is defined as the relatively large region that appears frequently over several frames and is not located near boundaries of the frames. A static object of interest should also have significant color and texture characteristics against its surround. We found that the objects of interest extracted by the proposed method were well matched with the objects of interest selected manually. © Springer-Verlag Berlin Heidelberg 2006.