New trends on moving object detection in video images captured by a moving camera: A survey
M Yazdi, T Bouwmans - Computer science review, 2018 - Elsevier
This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …
sequences captured by a moving camera. Although many researches and excellent works …
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
Industrial process data are usually mixed with missing data and outliers which can greatly
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
Crack detection in ultrahigh-performance concrete using robust principal component analysis and characteristic evaluation in the frequency domain
J Cao, H He, Y Zhang, W Zhao… - Structural Health …, 2024 - journals.sagepub.com
Studying the crack propagation of ultrahigh-performance concrete (UHPC) helps us
understand its mechanical mechanism and assess its structural performance. A novel …
understand its mechanical mechanism and assess its structural performance. A novel …
Data-driven discovery of Koopman eigenfunctions for control
Data-driven transformations that reformulate nonlinear systems in a linear framework have
the potential to enable the prediction, estimation, and control of strongly nonlinear dynamics …
the potential to enable the prediction, estimation, and control of strongly nonlinear dynamics …
On the applications of robust PCA in image and video processing
Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse
matrices offers a powerful framework for a large variety of applications such as image …
matrices offers a powerful framework for a large variety of applications such as image …
Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset
Background/foreground separation is the first step in video surveillance system to detect
moving objects. Recent research on problem formulations based on decomposition into low …
moving objects. Recent research on problem formulations based on decomposition into low …
Moving objects detection with a moving camera: A comprehensive review
MN Chapel, T Bouwmans - Computer science review, 2020 - Elsevier
During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …
detection of moving objects in various challenging environments. First applications concern …
Global optimality in low-rank matrix optimization
This paper considers the minimization of a general objective function f (X) over the set of
rectangular n× m matrices that have rank at most r. To reduce the computational burden, we …
rectangular n× m matrices that have rank at most r. To reduce the computational burden, we …
Improved robust tensor principal component analysis via low-rank core matrix
Robust principal component analysis (RPCA) has been widely used for many data analysis
problems in matrix data. Robust tensor principal component analysis (RTPCA) aims to …
problems in matrix data. Robust tensor principal component analysis (RTPCA) aims to …
POD-based background removal for particle image velocimetry
State-of-art preprocessing methods for Particle Image Velocimetry (PIV) are severely
challenged by time-dependent light reflections and strongly non-uniform background. In this …
challenged by time-dependent light reflections and strongly non-uniform background. In this …