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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. While SBS has been shown to improve background subtraction, a major difficulty is that it combines two streams generated at different frame rates.
Anthony Cioppa +2 more
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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 evening because objects are usually dark and reflected light is usually strong. To resolve these issues,
Hongpeng Pan +3 more
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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
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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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Probabilistic Model-Based Background Subtraction [PDF]
, 2005 Usually, background subtraction is approached as a pixel-based process, and the output is (a possibly thresholded) image where each pixel reflects, independent from its neighboring pixels, the likelihood of itself belonging to a foreground object. What is neglected for better output is the correlation between pixels.
Volker Krüger +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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