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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Journal ArticleDOI
Street-view change detection with deconvolutional networks
TL;DR: This work proposes a system for performing structural change detection in street-view videos captured by a vehicle-mounted monocular camera over time, and introduces a new urban change detection dataset which is an order of magnitude larger than existing datasets and contains challenging changes due to seasonal and lighting variations.
Journal ArticleDOI
Change Detection in Heterogenous Remote Sensing Images via Homogeneous Pixel Transformation
TL;DR: A spatial-neighbor-based noise filter is developed to further reduce the false alarms and missing detections using belief functions theory and to improve the robustness of detection with respect to the noise and heterogeneousness (modality difference) of images.
Journal ArticleDOI
A computer vision system for the detection and classification of vehicles at urban road intersections
TL;DR: A real-time vision system to compute traffic parameters by analyzing monocular image sequences coming from pole-mounted video cameras at urban crossroads is presented, utilizing a robust background updating, and a feature-based tracking method.
Journal ArticleDOI
Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy
Harihar Narasimha-Iyer,Ali Can,Badrinath Roysam,V. Stewart,H.L. Tanenbaum,A. Majerovics,Hanumant Singh +6 more
TL;DR: A fully automated approach to robust detection and classification of changes in longitudinal time-series of color retinal fundus images of diabetic retinopathy, focusing on diabetic changes, has broader applicability in ophthalmology.
Journal ArticleDOI
Spatiotemporal Data Mining: A Computational Perspective
Shashi Shekhar,Zhe Jiang,Reem Y. Ali,Emre Eftelioglu,Xun Tang,Venkata M. V. Gunturi,Xun Zhou +6 more
TL;DR: This survey reviews recent computational techniques and tools in spatiotemporal data mining and provides comprehensive coverage of computational approaches for various pattern families, focusing on several major pattern families.
References
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