Background modeling for video sequences by stacked denoising autoencoders [PDF]
, 2018 Nowadays, the analysis and extraction of relevant information in visual data flows is of paramount importance. These images sequences can last for hours, which implies that the model must adapt to all kinds of circumstances so that the performance of the
A Elgammal +10 more
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A Deep Similarity Metric Method Based on Incomplete Data for Traffic Anomaly Detection in IoT
Applied Sciences, 2019 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
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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A region based approach to background modeling in a wavelet multi-resolution framework [PDF]
, 2011 In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing very significant limitations, are extensively used. In this work we propose
Mendizábal Vicente, Ainhoa +1 more
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Background modeling by shifted tilings of stacked denoising autoencoders [PDF]
, 2019 The effective processing of visual data without interruption is currently of supreme importance. For that purpose, the analysis system must adapt to events that may affect the data quality and maintain its performance level over time.
A Elgammal +12 more
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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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Background independent matrix models [PDF]
Physics Letters B, 1998 A class of background independent matrix models is made for which the structure of both local gauge symmetries and classical solutions is clarified. These matrix models do not involve a space-time metric and provide the matrix analogs of topological Chern-Simons and BF theories.
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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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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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Analytic Model Of Electron Self-Injection In A Plasma Wakefield Accelerator In The Strongly Nonlinear Bubble Regime [PDF]
, 2012 Self-injection of background electrons in plasma wakefield accelerators in the highly nonlinear bubble regime is analyzed using particle-in-cell and semi-analytic modeling.
Khudik, V. +3 more
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