Automatic thresholding for change detection in digital video

被引：9

作者：

Habili, N ^{[1
]}

Moini, A ^{[1
]}

Burgess, N ^{[1
]}

机构：

[1] Univ Adelaide, Dept Elect & Elect Engn, Video Compress & Commun Res Grp, Adelaide, SA 5005, Australia

来源：

VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2000, PTS 1-3 | 2000年 / 4067卷

关键词：

change detection; change detection mask; Gaussian distribution; segmentation;

D O I：

10.1117/12.386578

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper we propose a thresholding technique for change detection in digital video. The technique assumes that the difference image generated from two frames of a video sequence has a trimodal Gaussian distribution and a computationally efficient fitting criterion is employed to find the best match between the data and model. Results show that the technique is capable of detecting true motion in very images.

引用

页码：133 / 142

页数：10

共 9 条

[1] STATISTICAL MODEL-BASED CHANGE DETECTION IN MOVING VIDEO [J].