Results 11 to 20 of about 456,062 (261)
Optimization of the Regularization in Background and Foreground Modeling [PDF]
Journal of Applied Mathematics, 2014 Background and foreground modeling is a typical method in the application of computer vision. The current general “low-rank + sparse” model decomposes the frames from the video sequences into low-rank background and sparse foreground.
Si-Qi Wang, Xiang-Chu Feng
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Modeling the in-orbit Background of PolarLight [PDF]
The Astrophysical Journal, 2021 Abstract PolarLight is a gas pixel X-ray polarimeter mounted on a CubeSat, which was launched into a Sun-synchronous orbit in 2018 October. We build a mass model of the whole CubeSat with the Geant4 toolkit to simulate the background induced by the cosmic X-ray background (CXB) and high-energy charged particles in the orbit.
Jiahui Huang +25 more
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Modeling backgrounds for the Majorana Demonstrator
AIP Conference Proceedings, 2023 8 pages, 6 figures, Proceedings from the Low Radioactivity Techniques Workshop 2022 in Rapid City, SD ...
Haufe, CR +57 more
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Schrödinger–Newton Model with a Background [PDF]
Symmetry, 2021 This paper considers the Schrödinger–Newton (SN) equation with a Yukawa potential, introducing the effect of locality. We also include the interaction of the self-gravitating quantum matter with a radiation background, describing the effects due to the environment.
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Background Error Propagation Model Based RDO in HEVC for Surveillance and Conference Video Coding
IEEE Access, 2018 The emerging high efficiency video coding (HEVC) Standard has significantly improved the compression performance in comparison with its predecessor H.264/AVC. However, it was originally designed for generic video contents.
Jian Xiong +5 more
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Video Background Segmentation Using Adaptive Background Models [PDF]
, 2009 This paper proposes an adaptive background model which combines the advantages of both Eigenbackground and pixel-based gaussian models. This method exploits the illumination changes by Eigenbackground. Moreover, it can detect the chroma changes and remove shadow pixels using gaussian models. An adaptively strategy is used to integrate two models.
Xiaoyu Wu, Yangsheng Wang, Jituo Li
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Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features
Sensors, 2018 Foreground detection, which extracts moving objects from videos, is an important and fundamental problem of video analysis. Classic methods often build background models based on some hand-craft features.
Yao Wang, Zujun Yu, Liqiang Zhu
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A Novel Background Modeling Based on Keyframe and Particle Shape Property for Surveillance Video
IEEE Access, 2023 With the development of industrial informatization, video processing technology is receiving more and more attention. Extracting background is a prerequisite for many video processing techniques, so video background modeling technology is becoming highly
Yong Fan +3 more
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Sensors, 2020 Decades of ongoing research have shown that background modelling is a very powerful technique, which is used in intelligent surveillance systems, in order to extract features of interest, known as foregrounds.
Synh Viet-Uyen Ha +3 more
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Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder
Sensors, 2016 During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as “frame difference” and “optical flow”, may not able to deal with the ...
Shuoyang Chen +4 more
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