PTZ CAMERA-BASED ADAPTIVE PANORAMIC AND MULTI-LAYERED BACKGROUND MODEL

被引：0
|
作者：
Xue, Kang [1 ,2 ]
Ogunmakin, Gbolabo [2 ]
Liu, Yue [1 ]
Vela, Patricio A. [2 ]
Wang, Yongtian [1 ]
机构：
[1] Beijing Inst Technol, Sch Opt & Elect, Beijing 100081, Peoples R China
[2] Georgia Inst Technol, Engn Coll, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
来源：
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年
基金：
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词：
Object detection; PTZ camera; panoramic background; multi-layered propagation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we present a novel approach for constructing an adaptive panoramic and multi-layered background model for Pan-tilt-zoom (PTZ) camera that provides fast registration of the observed frame and localizes the foreground targets with arbitrary camera position and scale (optical zoom). Our method consists of two stages. (1) An adaptive panoramic background mixture model is generated off-line for foreground detection. (2) A layered correspondence is generated off-line from frames captured at different optical zoom values of the camera, and a correspondence propagation method is used to register the observed frame with the panoramic background online. We demonstrate the advantages of the proposed adaptive panoramic and multi-layered background model within wide field of view (FOV) and over large scale range.
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页数：4
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