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Deep neural network concepts for background subtraction: A systematic review and comparative evaluation
Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …
background subtraction in video acquired by static cameras. Indeed, the well-known Self …
Background subtraction in real applications: Challenges, current models and future directions
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …
in their first step. Background subtraction is then applied in order to separate the background …
Traditional and recent approaches in background modeling for foreground detection: An overview
Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …
model the background and then detect the moving objects in the scene like in video …
Moving objects detection with a moving camera: A comprehensive review
During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …
detection of moving objects in various challenging environments. First applications concern …
Background subtraction for moving object detection: explorations of recent developments and challenges
Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …
significant research efforts to tackle unsolved challenges and to accelerate the progress …
Moving object detection method via ResNet-18 with encoder–decoder structure in complex scenes
In complex scenes, dynamic background, illumination variation, and shadow are important
factors, which make conventional moving object detection algorithms suffer from poor …
factors, which make conventional moving object detection algorithms suffer from poor …
[کتاب][B] Background modeling and foreground detection for video surveillance
T Bouwmans, F Porikli, B Höferlin, A Vacavant - 2014 - books.google.com
This book provides a complete overview of the concepts, algorithms, and applications
related to background modeling and foreground detection. It presents the top methods and …
related to background modeling and foreground detection. It presents the top methods and …
Towards benchmarking scene background initialization
Given a set of images of a scene taken at different times, the availability of an initial
background model that describes the scene without foreground objects is the prerequisite …
background model that describes the scene without foreground objects is the prerequisite …
Moving object detection: Review of recent research trends
Moving object detection is the task of identifying the physical movement of an object in a
given region or area. Over last few years, moving object detection has received much of …
given region or area. Over last few years, moving object detection has received much of …
Scene background initialization: A taxonomy
The availability of an initial background model that describes the scene without foreground
objects is the prerequisite for a wide range of applications, ranging from video surveillance …
objects is the prerequisite for a wide range of applications, ranging from video surveillance …