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
Comparative Evaluation of Background Subtraction Algorithms in Remote Scene Videos Captured by MWIR Sensors.
TL;DR: This paper provides a Remote Scene IR Dataset captured by the authors' designed medium-wave infrared (MWIR) sensor, and valid references to develop new BS algorithm for remote scene IR video sequence, and some of them are not only limited to remote scene orIR video sequence but also generic for background subtraction.
Journal ArticleDOI
Improving Land Cover Classification Using Extended Multi-Attribute Profiles (EMAP) Enhanced Color, Near Infrared, and LiDAR Data
TL;DR: One key observation is that some algorithms can achieve better land cover classification performance by using only four bands as compared to that of using all 144 bands in the original hyperspectral data with the help of synthetic bands generated by Extended Multi-attribute Profiles (EMAP).
Proceedings ArticleDOI
A non-parametric approach to automatic change detection in MRI images of the brain
Hae Jong Seo,Peyman Milanfar +1 more
TL;DR: A novel approach to change detection between two brain MRI scans (reference and target) that uses a single modality to find subtle changes; and does not require prior knowledge of the type of changes to be sought.
Journal ArticleDOI
Salient Features for Moving Object Detection in Adverse Weather Conditions During Night Time
Anu Singha,Mrinal Kanti Bhowmik +1 more
TL;DR: An improved background model that utilizes both thermal pixel intensity features and spatial video salient features is proposed, and the results of a performance comparison with 14 state-of-the-art detection techniques demonstrate the high accuracy of the proposed technique.
Journal ArticleDOI
Algorithm and Architecture Design of Human–Machine Interaction in Foreground Object Detection With Dynamic Scene
TL;DR: A hardware-oriented foreground detection that is based on human-machine interaction in object level (HMIiOL) scheme and a processor based on system-on-chip design is presented for the HMIiol-based foreground detection.
References
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