Results 11 to 20 of about 111,250 (255)
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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Background Subtraction Combining l1/2 Norm and Saliency Constraint [PDF]
Jisuanji gongcheng, 2022 The conventional background subtraction model extracts the foreground more effectively when the background is static and the foreground object propagates rapidly.However, when the background is dynamic or the foreground object propagates slowly, the ...
ZHANG Guoting, CHEN Lixia, ZHOU Zefeng
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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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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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Background subtraction with a moving camera
2013 21st Signal Processing and Communications Applications Conference (SIU), 2013 Moving object segmentation with a nonstationary camera is a difficult problem due to the motion of both camera and the object. A moving object segmentation method is proposed in this work to be used in pan-tilt-zoom (PTZ) cameras. The method is based on composing scene mosaic and applying Gaussian mixture background subtraction algorithm after ...
Topcu, Osman +2 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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Modeling Dynamic Background based on Linear Equation
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2019 Detection moving car in front view is difficult operation because of the dynamic background due to the movement of moving car and the complex environment that surround the car, to solve that, this paper proposed new method based on linear equation ...
Abdul Monem S. Rahma, Nabaa Basil Abd
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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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Background Subtraction With Real-Time Semantic Segmentation
IEEE Access, 2019 Accurate and fast foreground (FG) object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have been proposed in the recent past, it is still regarded as a tough ...
Dongdong Zeng +4 more
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