Real-time implementations of an MRF-based motion detection algorithm

被引：9

作者：

Caplier, A ^{[1
]}

Luthon, F ^{[1
]}

Dumontier, C ^{[1
]}

机构：

[1] Inst Natl Polytech Grenoble, Signal & Image Lab, F-38041 Grenoble, France

来源：

REAL-TIME IMAGING | 1998年 / 4卷 / 01期

关键词：

D O I：

10.1006/rtim.1996.0062

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The main concern in image processing is the computation cost. Markov random field (MRF)-based algorithms particularly require a significant amount of computation. The paper investigates three solutions to implement a simple, but robust, MRF-based motion detection algorithm in real time: SIMD machine, DSP-based image processing board, and analog resistive network. Details and performances of each implementation are given and a comparison between each realization is made. The underlying goal of this work is to study if real-time implementations of MRF-based algorithms are feasible or not. The answer is positive in the case of quite simple algorithms, but reserved with more complex ones. (C) 1998 Academic Press Limited.

引用

页码：41 / 54

页数：14

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