Results 21 to 30 of about 10,907 (256)
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
doaj +1 more source
Data in Brief, 2020 This dataset consists of video files that were created to test the accuracy of background segmentation algorithms contained in the C++ wrapper ‘BGSLibrary’ v3.0.0 developed by Andrews Sobral.
Seng Cheong Loke +3 more
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Locally Statistical Dual-Mode Background Subtraction Approach
IEEE Access, 2019 Due to the variety of background model in the real world, detecting changes in a video cannot be addressed exhaustively by a simple background subtraction method, especially with several motion detection challenges, such as dynamic background, camera ...
Thien Huynh-The +3 more
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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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Real-Time Semantic Background Subtraction [PDF]
, 2020 peer reviewedSemantic background subtraction (SBS) has been shown to improve the performance of most background subtraction algorithms by combining them with semantic information, derived from a semantic segmentation network.
Anthony Cioppa +5 more
core +1 more source
A Novel Interest-Point-Based Background Subtraction Algorithm
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014 Current Back-Ground Subtraction (BGS) algorithms are pixel-based methods. We propose an Interest-Point(IP)-based BGS algorithm applicable in IP-based Computer Vision application.
Alireza Dehghani, Alistair Sutherland
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A block-based background model for moving object detection
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2017 Detecting the moving objects in a video sequence using a stationary camera is an important task for many computer vision applications. This paper proposes a background subtraction approach.
Omar Elharrouss +4 more
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Flame Detection for Video-based Early Fire Warning Systems and 3D Visualization of Fire Propagation [PDF]
, 2012 Early and accurate detection and localization of flame is an essential requirement of modern early fire warning systems. Video-based systems can be used for this purpose; however, flame detection remains a challenging issue due to the fact that many ...
Tsalakanidou, Filareti +5 more
core +1 more source
Background Subtraction Using Multiscale Fully Convolutional Network
IEEE Access, 2018 Background modeling and subtraction based on change detection are the first step in many high-level computer vision applications. Many background subtraction methods have been proposed in the recent past and their efforts mainly focus on two aspects ...
Dongdong Zeng, Ming Zhu
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Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements [PDF]
, 2016 Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing, and 3D modeling.
Wang, Yao +11 more
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