Results 11 to 20 of about 429,050 (291)
Backgrounds from tensor models: A proposal [PDF]
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A Deep Similarity Metric Method Based on Incomplete Data for Traffic Anomaly Detection in IoT
In recent years, with the development of the Internet of Things (IoT) technology, a large amount of data can be captured from sensors for real-time analysis.
Xu Kang, Bin Song, Fengyao Sun
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Background Error Propagation Model Based RDO in HEVC for Surveillance and Conference Video Coding
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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Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features
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
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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Background Subtraction with DirichletProcess Mixture Models [PDF]
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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The GLAST Background Model [PDF]
In order to estimate the ability of the GLAST/LAT to reject unwanted background of charged particles, optimize the on-board processing, size the required telemetry and optimize the GLAST orbit, we developed a detailed model of the background particles that would affect the LAT.
J. F. Ormes +7 more
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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
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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Modeling dense stellar systems: background [PDF]
AbstractI provide some background about recent efforts made in modeling dense stellar systems, within the context of the MODEST initiative. During the last four years, we have seen more than fifteen MODEST workshops, with an attendance between twenty and a hundred participants, and topics ranging from very specialized discussions to rather general ...
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