Results 1 to 10 of about 111,250 (255)
Background subtraction for night videos [PDF]
PeerJ Computer Science, 2021 Motion analysis is important in video surveillance systems and background subtraction is useful for moving object detection in such systems. However, most of the existing background subtraction methods do not work well for surveillance systems in the ...
Hongpeng Pan +3 more
doaj +5 more sources
Asynchronous Semantic Background Subtraction [PDF]
Journal of Imaging, 2020 The method of Semantic Background Subtraction (SBS), which combines semantic segmentation and background subtraction, has recently emerged for the task of segmenting moving objects in video sequences.
Anthony Cioppa +2 more
doaj +5 more sources
Face Presentation Attack Detection Using Deep Background Subtraction [PDF]
Sensors, 2022 Currently, face recognition technology is the most widely used method for verifying an individual’s identity. Nevertheless, it has increased in popularity, raising concerns about face presentation attacks, in which a photo or video of an authorized ...
Azeddine Benlamoudi +6 more
doaj +2 more sources
Extended Codebook with Multispectral Sequences for Background Subtraction [PDF]
Sensors, 2019 The Codebook model is one of the popular real-time models for background subtraction. In this paper, we first extend it from traditional Red-Green-Blue (RGB) color model to multispectral sequences.
Rongrong Liu +2 more
doaj +2 more sources
Background Subtraction Based on Three-Dimensional Discrete Wavelet Transform [PDF]
Sensors, 2016 Background subtraction without a separate training phase has become a critical task, because a sufficiently long and clean training sequence is usually unavailable, and people generally thirst for immediate detection results from the first frame of a ...
Guang Han, Jinkuan Wang, Xi Cai
doaj +2 more sources
Background Subtraction Approach Based on Independent Component Analysis [PDF]
Sensors, 2010 In this work, a new approach to background subtraction based on independent component analysis is presented. This approach assumes that background and foreground information are mixed in a given sequence of images.
Hugo Jiménez-Hernández
doaj +2 more sources
Analytics of Deep Neural Network-Based Background Subtraction
Journal of Imaging, 2018 Deep neural network-based (DNN-based) background subtraction has demonstrated excellent performance for moving object detection. The DNN-based background subtraction automatically learns the background features from training images and outperforms ...
Rin-Ichiro Taniguchi +2 more
exaly +3 more sources
An Adaptive Background Subtraction Method Based on Kernel Density Estimation [PDF]
Sensors, 2012 In this paper, a pixel-based background modeling method, which uses nonparametric kernel density estimation, is proposed. To reduce the burden of image storage, we modify the original KDE method by using the first frame to initialize it and update it ...
Mignon Park, Jeisung Lee
doaj +2 more sources
Linear model for fast background subtraction in oligonucleotide microarrays [PDF]
Algorithms for Molecular Biology, 2009 Background One important preprocessing step in the analysis of microarray data is background subtraction. In high-density oligonucleotide arrays this is recognized as a crucial step for the global performance of the data analysis from raw intensities to ...
Barkema Gerard T +2 more
doaj +2 more sources
Semantic background subtraction [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 We introduce the notion of semantic background subtraction, a novel framework for motion detection in video sequences. The key innovation consists to leverage object-level semantics to address the variety of challenging scenarios for background subtraction.
Marc Braham +2 more
openaire +1 more source