Results 41 to 50 of about 107,062 (139)
Selective Subtraction for Handheld Cameras
IEEE Access, 2020 Background subtraction techniques model the background of the scene using the stationarity property and classify the scene into two classes namely foreground and background.
Adeel A. Bhutta +2 more
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Dynamic ARMA-Based Background Subtraction for Moving Objects Detection
IEEE Access, 2019 Background subtraction is a prevailing method for moving object detection in videos with stationary backgrounds. However, accurate and real-time moving object detection is challenging in the presence of complex dynamic scenes. This paper presents a novel
Jian Li +3 more
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Statistical background subtraction using spatial cues [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2007 Most statistical background subtraction techniques are based on the analysis of temporal color/intensity distribution. However, learning statistics on a series of time frames can be problematic, especially when no frame absent of moving objects is available or when the available memory is not sufficient to store the series of frames needed for learning.
Pierre-Marc Jodoin +2 more
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End-to-End Background Subtraction via a Multi-Scale Spatio-Temporal Model
IEEE Access, 2019 Background subtraction is an important task in computer vision. Traditional approaches usually utilize low-level visual features like color, texture, or edge to build background models.
Yizhong Yang +4 more
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Background subtraction for aerial surveillance conditions [PDF]
2014 14th International Conference on Innovations for Community Services (I4CS), 2014 The first step in a surveillance system is to create a representation of the environment. Background subtraction is widely used algorithm to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring.
Sanchez-Fernandez, Francisco +2 more
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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.
El Baf, Fida +2 more
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Illumination-Invariant Background Subtraction: Comparative Review, Models, and Prospects
IEEE Access, 2017 Background subtraction is a key prerequisite for a wide range of image processing applications due to its pervasiveness in various contexts. In particular, video surveillance highly requires the reliable background subtraction for further operations ...
Wonjun Kim, Chanho Jung
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Background subtraction using Multi-Channel Fused Lasso [PDF]
Electronic Imaging, 2019 Abstract Background subtraction is a fundamental problem in computer vision. Despite having made significant progress over the past decade, accurate foreground extraction in complex scenarios is still challenging. Recently, sparse signal recovery has attracted a considerable attention due to the fact that moving objects in videos are sparse ...
Zhao Guoying, Liu Xin
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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.
Krüger, Volker +2 more
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Background-Subtraction Algorithm Optimization for Home Camera-Based Night-Vision Fall Detectors
IEEE Access, 2019 Background subtraction is one of the key pre-processing steps necessary for obtaining relevant information from a video sequence. The selection of a background subtraction algorithm and its parameters is also important for achieving optimal detection ...
Mercedes Alonso +3 more
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