Results 11 to 20 of about 327,718 (121)
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 via Generalized Fused Lasso Foreground Modeling [PDF]
, 2015 Background Subtraction (BS) is one of the key steps in video analysis. Many background models have been proposed and achieved promising performance on public data sets. However, due to challenges such as illumination change, dynamic background etc.
Gao, Wen +3 more
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BSUV-Net: a fully-convolutional neural network for background subtraction of unseen videos [PDF]
, 2020 Background subtraction is a basic task in computer vision and video processing often applied as a pre-processing step for object tracking, people recognition, etc.
Ishwar, Prakash +2 more
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Background subtraction: separating the modeling and the inference [PDF]
Machine Vision and Applications, 2013 19 pages, 6 figures, Machine Vision and Applications ...
Erik Learned-Miller +2 more
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Universal Multimode Background Subtraction
IEEE Transactions on Image Processing, 2017 In this paper, we present a complete change detection system named multimode background subtraction. The universal nature of system allows it to robustly handle multitude of challenges associated with video change detection, such as illumination changes, dynamic background, camera jitter, and moving camera.
Hasan Sajid, Sen-Ching Samson Cheung
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Background Subtraction Uncertainty from Submillimetre to Millimetre Wavelengths [PDF]
, 2014 Photometric observations of galaxies at submillimetre to millimetre wavelengths (50 - 1000 GHz) are susceptible to spatial variations in both the background CMB temperature and CIB emission that can be comparable to the flux from the target galaxy.
Ferraro, Simone, Hensley, Brandon
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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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Independent multimodal background subtraction [PDF]
, 2012 Background subtraction is a common method for detecting moving objects from static cameras able to achieve real-time performance. However, it is highly dependent on a good background model particularly to deal with dynamic scenes. In this paper a novel real-time algorithm for creating a robust and multimodal background model is presented.
BLOISI, Domenico Daniele, IOCCHI, Luca
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Background Subtraction with DirichletProcess Mixture Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 Video analysis often begins with background subtraction. This problem is often approached in two steps-a background model followed by a regularisation scheme. A model of the background allows it to be distinguished on a per-pixel basis from the foreground, whilst the regularisation combines information from adjacent pixels.
Haines, TSF, Xiang, T
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Compressive Sensing for Background Subtraction [PDF]
, 2008 Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reconstructed from a small set of random projections, provided that the signal is sparse in some basis, e.g., wavelets.
Cevher, Volkan +5 more
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