Results 261 to 270 of about 107,942 (280)

Perception-Inspired Background Subtraction

IEEE Transactions on Circuits and Systems for Video Technology, 2013
Developing universal and context-invariant methods is one of the hardest challenges in computer vision. Background subtraction (BS), an essential precursor in most machine vision applications used for foreground detection, is no exception. Due to overreliance on statistical observations, most BS techniques show unpredictable behavior in dynamic ...
Mahfuzul Haque, Manzur Murshed
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Cost-sensitive background subtraction

2013 IEEE International Conference on Image Processing, 2013
Foreground and background are treated without distinction at classification stage in most background subtraction algorithms. However, correct classification of foreground is the primary requirement, and thus misclassification costs of the two classes should be different.
Xiang Zhang, Jian Cheng, Zhi Liu, Jie Yang   +3 more
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Digital background subtraction for fluorescence imaging

Medical Physics, 1986
A method of enhancing contrast in fluorescence imaging has been devised, based on real‐time digital subtraction of a background video image from a signal‐plus‐background video image. Color filters are used to differentiate signal from background. The technique has been applied to detection of small tumors labeled with the tumor specific fluorescent ...
A E, Profio, O J, Balchum, F, Carstens
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Interpolative background subtraction.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 1976
A method for background subtraction is presented. The data are digitized scintigraphic images, stored in 64 X 64 frames. Within this array a rectangular area surrounding the target is defined. All data points outside of this area are set equal to zero. From each data point within the area, the computer subtracts a background value equal to the average ...
M L, Goris, S G, Daspit, P, McLaughlin, J P, Kriss   +3 more
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Motion-based background subtraction

Optical Engineering, 2009
A framework is suggested to segment the foreground in image sequences using background subtraction based on the reconstructed background image for each frame. First, the consecutive frames are taken as inputs for a motion estimation algorithm to calculate the motion vector between frames.
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GPU accelerated background subtraction

2015 IEEE 16th International Conference on Communication Technology (ICCT), 2015
Background subtraction is a crucial step in many automatic video content analysis applications. While numerous acceptable techniques have been proposed so far for background extraction, there is still a need to produce more efficient algorithms in terms of computation efficiency.
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Background Subtraction on Distributions

2008
Environmental monitoring applications present a challenge to current background subtraction algorithms that analyze the temporal variability of pixel intensities, due to the complex texture and motion of the scene. They also present a challenge to segmentation algorithms that compare intensity or color distributions between the foreground and the ...
Teresa Ko, Stefano Soatto, Deborah Estrin   +2 more
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Comparison of Background Subtraction methods

2018 International Conference on Applied Smart Systems (ICASS), 2018
This article presents a comparative study of the most known background subtraction methods and which are widely used in the computer vision. This is achieved by means of the mask extraction quality of the foreground using these methods, in order to provide a solid analysis to highlight the advantages and disadvantages of the aforementioned methods ...
Imane Benraya, Nadjia Benblidia
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Background subtraction for vehicle detection

2015 Global Conference on Communication Technologies (GCCT), 2015
We propose a background subtraction method for segmenting vehicles from background in a video sequence. Our method can be considered as a hybrid of two existing methods. The background is modelled per-pixel with a collection of pixel values. The foreground/background decision is based on whether the current pixel value finds a match with the samples in
Arun Varghese, G. Sreelekha
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Multi-Modal Background Subtraction

2014
Background subtraction is a common first step in the field of video processing and its purpose is to reduce the effective image size in subsequent processing steps by segmenting the mostly static background from the moving or changing foreground. In this chapter approaches towards background modeling previously described are extended to handle 2D/3D ...
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