A novel dual-probe adaptive model for image change detection

Lin Ma; Nanning Zheng; Zejian Yuan; Xuetao Zhang

doi:10.1109/LSP.2010.2063023

A novel dual-probe adaptive model for image change detection

Lin Ma
, Nanning Zheng
, Zejian Yuan
, Xuetao Zhang

College of Artificial Intelligence and Robotics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Change detection is the foremost pre-attention process of visual motion analysis. It provides important preprocessing clues for the following complex visual attention selection and pattern recognition process. In this letter, a novel dual-probe adaptive model of the weak image change signal detection is advanced. Then its basic parameter constraints are analyzed and the numerical analysis of its characteristic is discussed. Simulation results show that the related change detector could capture the tiny change signals in synthetic and nature scenes with noisy background.

Original language	English
Article number	5535126
Pages (from-to)	863-866
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	17
Issue number	10
DOIs	https://doi.org/10.1109/LSP.2010.2063023
State	Published - 2010

Keywords

Adaptive model
attention selection
change detection
image change

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10.1109/LSP.2010.2063023

Cite this

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title = "A novel dual-probe adaptive model for image change detection",

abstract = "Change detection is the foremost pre-attention process of visual motion analysis. It provides important preprocessing clues for the following complex visual attention selection and pattern recognition process. In this letter, a novel dual-probe adaptive model of the weak image change signal detection is advanced. Then its basic parameter constraints are analyzed and the numerical analysis of its characteristic is discussed. Simulation results show that the related change detector could capture the tiny change signals in synthetic and nature scenes with noisy background.",

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N2 - Change detection is the foremost pre-attention process of visual motion analysis. It provides important preprocessing clues for the following complex visual attention selection and pattern recognition process. In this letter, a novel dual-probe adaptive model of the weak image change signal detection is advanced. Then its basic parameter constraints are analyzed and the numerical analysis of its characteristic is discussed. Simulation results show that the related change detector could capture the tiny change signals in synthetic and nature scenes with noisy background.

AB - Change detection is the foremost pre-attention process of visual motion analysis. It provides important preprocessing clues for the following complex visual attention selection and pattern recognition process. In this letter, a novel dual-probe adaptive model of the weak image change signal detection is advanced. Then its basic parameter constraints are analyzed and the numerical analysis of its characteristic is discussed. Simulation results show that the related change detector could capture the tiny change signals in synthetic and nature scenes with noisy background.

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KW - attention selection

KW - change detection

KW - image change

UR - https://www.scopus.com/pages/publications/77955741310

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M3 - 文章

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A novel dual-probe adaptive model for image change detection

Abstract

Keywords

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