Unsupervised video object segmentation and tracking based on new edge features

被引：19

作者：

Kim, BG ^{[1
]}

Park, DJ ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea

来源：

PATTERN RECOGNITION LETTERS | 2004年 / 25卷 / 15期

关键词：

video object; edge information; segmentation; tracking;

D O I：

10.1016/j.patrec.2004.07.009

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present an efficient video segmentation and tracking strategy based on edge information to assist object-based video coding, motion estimation, and motion compensation for MPEG-4 and MPEG-7. The proposed algorithm utilizes the human visual perception to provide edge information. Three parameters are introduced and described based on edge information from the analysis of a local histogram. An edge function is defined to generate the edge information map, which can be thought as the gradient image. Then, an improved marker-based region growing and merging techniques are derived to separate the image regions. An efficient temporal segmentation and tracking algorithm is also developed in time domain when the initial segmentation is given. The proposed algorithm is tested on several standard sequences and demonstrates high reliability for video object segmentation and tracking. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：1731 / 1742

页数：12

共 23 条

[1] Color texture segmentation using feature distributions [J].

Chen, KM ;

Chen, SY .

PATTERN RECOGNITION LETTERS, 2002, 23 (07) :755-771

[2] Unsupervised segmentation of color-texture regions in images and video [J].

Deng, YN ;

Manjunath, BS .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (08) :800-810

[3]

GAMBOTTO JP, 1992, IEEE T PATTERN ANAL, V23, P189

[4] Improved techniques for automatic image segmentation [J].

Gao, H ;

Siu, WC ;

Hou, CH .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2001, 11 (12) :1273-1280

[5]

Graham C. H., 1965, Vision and visual perception

[6]

GU C, 1998, IEEE T PATTERN ANAL, V23, P643

[7]

GU C, 1997, P 1997 IEEE INT C IM, V2, P514

[8] A video segmentation algorithm for hierarchical object representations and its implementation [J].

Herrmann, S ;

Mooshofer, H ;

Dietrich, H ;

Stechele, W .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 1999, 9 (08) :1204-1215

[9]

Jain A.K., 1997, FUNDAMENTALS DIGITAL

[10] Fast image segmentation based on multi-resolution analysis and wavelets [J].

Kim, BG ;

Shim, JI ;

Park, DJ .

PATTERN RECOGNITION LETTERS, 2003, 24 (16) :2995-3006

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