Moving object segmentation in video sequences by user interaction and automatic object tracking

作     者：Kim, M Jeon, JG Kwak, JS Lee, MH Ahn, C 

作者机构：Elect & Telecommun Res Inst Radio & Broadcasting Technol Lab Broadcasting Media Technol Dept Taejon 305350 South Korea 

出 版 物：《IMAGE AND VISION COMPUTING》 (图像与视觉计算)

年 卷 期：2001年第19卷第5期

页      面：245-260页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：Ministry of Information and Communications Technology  Iran 

主　　题：moving object segmentation automatic object tracking video coding 

摘      要：The new MPEG-4 video coding standard consists of object based coding schemes for multimedia and enables content based functionalities. In order to apply the MPEG-4 visual standard, each frame of video sequences should be represented in terms of video object planes (VOFs). Video objects in still pictures or video sequences should be first identified before the encoding process starts. It requires a prior decomposition of sequences into VOPs so that each VOP represents an object. This paper addresses a user-assisted video segmentation method for separating moving objects from the background in video sequences. The proposed method comprises of intra-frame and inter-frame segmentation modules. The intra-frame segmentation incorporates user interaction in defining a high level semantic object of interest to be segmented and detects precise object boundary. The inter-frame segmentation involves boundary and region tracking to capture temporal coherence of moving objects with accurate object boundary information. The proposed method exhibits a consistent and faithful segmentation performance for various types of video sequences. (C) 2001 Elsevier Science B.V. All rights reserved.