Results 21 to 30 of about 107,942 (280)
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
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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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Background-Subtracted Solar Activity Maps [PDF]
Solar Physics, 2019 We introduce the concept of a Background-subtracted Solar Activity Map (BaSAM) as a new quantitative tool to assess and visualize the temporal variation of the photospheric magnetic field and the UV 160 nm intensity. The method utilizes data of the Solar Dynamics Observatory (SDO) and is applicable to both full-disk observations and regions-of-interest.
C. Denker, M. Verma
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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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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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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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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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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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Background Subtraction for Time of Flight Imaging
Journal of Computer Science and Technology, 2017 A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed.
Javier Giacomantone +2 more
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Algorithms, 2019 Background subtraction plays a fundamental role for anomaly detection in video surveillance, which is able to tell where moving objects are in the video scene.
Tianming Yu, Jianhua Yang, Wei Lu
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