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On the role and the importance of features for background modeling and foreground detection
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …
applications in video surveillance. Background modeling methods have become increasing …
Advancements in low light image enhancement techniques and recent applications
Low-light image enhancement is an effective solution for improving image recognition by
both humans and machines. Due to low illuminance, images captured in such conditions …
both humans and machines. Due to low illuminance, images captured in such conditions …
Background modeling using mixture of gaussians for foreground detection-a survey
Mixture of Gaussians is a widely used approach for background modeling to detect moving
objects from static cameras. Numerous improvements of the original method developed by …
objects from static cameras. Numerous improvements of the original method developed by …
Recent advanced statistical background modeling for foreground detection-a systematic survey
Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …
static cameras. Numerous statistical methods have been developed over the recent years …
Human behavior analysis in video surveillance: A social signal processing perspective
The analysis of human activities is one of the most intriguing and important open issues for
the automated video surveillance community. Since few years ago, it has been handled …
the automated video surveillance community. Since few years ago, it has been handled …
[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 …
Transcut: Transparent object segmentation from a light-field image
The segmentation of transparent objects can be very useful in computer vision applications.
However, because they borrow texture from their background and have a similar …
However, because they borrow texture from their background and have a similar …
Detection and classification of public security threats in the philippines using neural networks
Life being put into jeopardy when in public has always been Filipinos' concern. While there
are reinforcements of laws, and common practices taught, these are no more than just band …
are reinforcements of laws, and common practices taught, these are no more than just band …
Multispectral information fusion with reinforcement learning for object tracking in IoT edge devices
With recent advances in sensor technology, multispectral systems are becoming
increasingly attractive for intelligence, surveillance, and reconnaissance applications …
increasingly attractive for intelligence, surveillance, and reconnaissance applications …
[PDF][PDF] Study of robust and intelligent surveillance in visible and multi-modal framework
This paper gives a review of current state of the art in the development of robust and
intelligent surveillance systems, going beyond traditional vision based framework to more …
intelligent surveillance systems, going beyond traditional vision based framework to more …