Foreground-Background Segmentation Based on Codebook and Edge Detector

被引：1

作者：

Mousse, Mikael A. ^{[1
,2
]}

Ezin, Eugene C. ^{[1
]}

Motamed, Cina ^{[2
]}

机构：

[1] Univ Abomey Calavi, Inst Math & Sci Phys, Unite Rech Informat & Sci Appl, BP 613 Porto Novo, Cotonou, Benin

[2] Univ Littoral Cote dOpale, Lab Informat Signal & Image Cote Opale, F-62228 Calais, France

来源：

10TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY AND INTERNET-BASED SYSTEMS SITIS 2014 | 2014年

关键词：

codebook; edge detector; video segmentation; mixture of gaussian;

D O I：

10.1109/SITIS.2014.55

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Background modeling techniques are used for moving object detection in video. Many algorithms exist in the field of object detection with different purposes. In this paper, we propose an improvement of moving object detection based on codebook segmentation. We associate the original codebook algorithm with an edge detection algorithm. Our goal is to prove the efficiency of using an edge detection algorithm with a background modeling algorithm. Throughout our study, we compared the quality of the moving object detection when codebook segmentation algorithm is associated with some standard edge detectors. In each case, we use frame-based metrics for the evaluation of the detection. The different results are presented and analyzed.

引用

页码：119 / 124

页数：6

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