Journal ArticleDOI
Image change detection algorithms: a systematic survey
TLDR
In this paper, the authors present a systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling.Abstract:
Detecting regions of change in multiple images of the same scene taken at different times is of widespread interest due to a large number of applications in diverse disciplines, including remote sensing, surveillance, medical diagnosis and treatment, civil infrastructure, and underwater sensing. This paper presents a systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling. We also discuss important preprocessing methods, approaches to enforcing the consistency of the change mask, and principles for evaluating and comparing the performance of change detection algorithms. It is hoped that our classification of algorithms into a relatively small number of categories will provide useful guidance to the algorithm designer.read more
Citations
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Computer vision : a modern approach = 计算机视觉 : 一种现代的方法
David Forsyth,Jean Ponce +1 more
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Journal ArticleDOI
ViBe: A Universal Background Subtraction Algorithm for Video Sequences
TL;DR: Efficiency figures show that the proposed technique for motion detection outperforms recent and proven state-of-the-art methods in terms of both computation speed and detection rate.
Journal ArticleDOI
Automatic generation and detection of highly reliable fiducial markers under occlusion
TL;DR: A fiducial marker system specially appropriated for camera pose estimation in applications such as augmented reality and robot localization is presented and an algorithm for generating configurable marker dictionaries following a criterion to maximize the inter-marker distance and the number of bit transitions is proposed.
Journal ArticleDOI
Graph based anomaly detection and description: a survey
TL;DR: This survey aims to provide a general, comprehensive, and structured overview of the state-of-the-art methods for anomaly detection in data represented as graphs, and gives a general framework for the algorithms categorized under various settings.
References
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Journal ArticleDOI
A Multiscale Object-Specific Approach to Digital Change Detection
Ola Hall,Geoffrey J. Hay +1 more
TL;DR: In this article, an object-specific multiscale digital change detection approach was proposed to detect significant spatial changes occurring through space and time, which incorporates multitemporal SPOT Panchromatic (Pan) data, object specific analysis (OSA), object specific up-scaling (OSU), marker-controlled watershed segmentation (MCS), and image differencing change detection.
Journal ArticleDOI
Statistical Approaches to Feature-Based Object Recognition
TL;DR: Evidence is presented indicating that, in some domains, normal (Gaussian) distributions are more accurate than uniform distributions for modeling feature fluctuations, which motivates the development of new maximum-likelihood and MAP recognition formulations which are based on normal feature models.
Journal ArticleDOI
Change detection and background extraction by linear algebra
TL;DR: Two techniques for change detection that have been developed to deal with variations in illumination and background, with real-time capabilities are proposed based on a vector model of images and on the exploitation of the concepts of linear dependence and linear independence.
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The detection and significance of subtle changes in mixed-signal brain lesions by serial MRI scan matching and spatial normalization
TL;DR: A novel quantitative approach has been presented for the detection and quantification of subtle signal changes in lesions based on serial MRI scan matching, of potential clinical value in the non-invasive characterization of signal change and biological behaviour of neoplastic lesions.
Journal ArticleDOI
Boundary and Object Detection in Real World Images
TL;DR: A self-scaling local edge detector that can be applied in parallel on a picture is described in this paper, where the edge data is processed to local images of objects and generated a data structure that represents the imaged objects.