Architecture and implementation of real-time stereo vision with bilateral background subtraction

被引：0

作者：

Han, Sang-Kyo ^{[1
]}

Jeong, Mun-Ho ^{[1
]}

Woo, SeongHoon ^{[1
]}

You, Bum-Jae ^{[1
]}

机构：

[1] Korea Inst Sci & Technol, Ctr Cognit Robot Res, Seoul 130650, South Korea

来源：

ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF THEORETICAL AND METHODOLOGICAL ISSUES | 2007年 / 4681卷

关键词：

bilateral filtering; SAD algorithm; real-time stereo; FPGA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe the architecture and implementation of bilateral background subtraction for real-time stereo vision system. Pre-smoothing a signal and noise removal may help to improve the performance for many signal-processing algorithms such as compression, detection, enhancement, recognition, and more [2]. Bilateral filtering proposed by C. Tomasi and R. Manduchi can be used as an edge-preserving smoother, removing high-frequency components of an image without blurring its edges [ 1] [3]. Recently, [3] showed enhanced real-time stereo through software implementation of bilateral filtering. In this paper, we show hardware implementation of bilateral background subtraction for real-time stereo and present its architecture as well as required hardware resources. Also, we provide experimental results with real data and present our future works.

引用

页码：906 / +

页数：2

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