Results 11 to 20 of about 10,907 (256)
A fuzzy approach for background subtraction [PDF]
2008 15th IEEE International Conference on Image Processing, 2008 Background Subtraction is a widely used approach to detect moving objects from static cameras. Many different methods have been proposed over the recent years and can be classified following different mathematical model: determinist model, statistical model or filter model. The presence of critical situations i.e.
Fida El Baf +2 more
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Fast and Accurate Background Reconstruction Using Background Bootstrapping
Journal of Imaging, 2022 The goal of background reconstruction is to recover the background image of a scene from a sequence of frames showing this scene cluttered by various moving objects.
Bruno Sauvalle, Arnaud de La Fortelle
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Background Subtraction with Dirichlet Processes [PDF]
, 2012 Background subtraction is an important first step for video analysis, where it is used to discover the objects of interest for further processing. Such an algorithm often consists of a background model and a regularisation scheme. The background model determines a per-pixel measure of if a pixel belongs to the background or the foreground, whilst the ...
Fincham Haines, Tom, Xiang, Tao
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Face Presentation Attack Detection Using Deep Background Subtraction
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
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Practical automatic background substitution for live video
Computational Visual Media, 2017 In this paper we present a novel automatic background substitution approach for live video. The objective of background substitution is to extract the foreground from the input video and then combine it with a new background.
Haozhi Huang +4 more
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Articulated Human Body Parts Detection Based on Cluster Background Subtraction and Foreground Matching [PDF]
, 2013 Detecting people or other articulated objects and localizing their body parts is a challenging computer vision problem as their movement is unpredictable under circumstances of partial and full occlusions.
Mihaylova, Lyudmila +5 more
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Background Subtraction Using Dominant Directional Pattern
IEEE Access, 2018 Background subtraction technique is commonly used in foreground segmentation problem. Most of the existing color or intensity feature-based background subtraction methods suffer in non-stationary environments, such as presence of illumination variations.
Kaushik Roy +4 more
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Video foreground detection based on symmetric alpha-stable mixture models. [PDF]
, 2010 Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extracting regions of the foreground (moving objects) with the assumptions that the
L Mihaylova +8 more
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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 ...
Tsubasa Minematsu +3 more
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Background subtraction techniques: a review [PDF]
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005 Background subtraction is a widely used approach for detecting moving objects from static cameras. Many different methods have been proposed over the recent years and both the novice and the expert can be confused about their benefits and limitations.
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