Comparative study of motion detection methods for video surveillance systems
K Sehairi, F Chouireb, J Meunier - Journal of Electronic …, 2017 - spiedigitallibrary.org
The objective of this study is to compare several change detection methods for a monostatic
camera and identify the best method for different complex environments and backgrounds in …
camera and identify the best method for different complex environments and backgrounds in …
Deep fusion of appearance and frame differencing for motion segmentation
M Ellenfeld, S Moosbauer… - proceedings of the …, 2021 - openaccess.thecvf.com
Motion segmentation is a technique to detect and localize class-agnostic motion in videos.
This motion is assumed to be relative to a stationary background and usually originates from …
This motion is assumed to be relative to a stationary background and usually originates from …
Foreground segmentation with PTZ camera: a survey
E Komagal, B Yogameena - Multimedia Tools and Applications, 2018 - Springer
The alertness of terrorism in the present is greater than that in the past b with reference to
the incident of September 11. Still now, there has been a fight against terrorism and that has …
the incident of September 11. Still now, there has been a fight against terrorism and that has …
[PDF][PDF] Moving Object Detection and Tracking Algorithm Using Hybrid Decomposition Parallel Processing.
Moving object detection, classification and tracking are more crucial and challenging task in
most of the computer vision and machine vision applications such as robot navigation …
most of the computer vision and machine vision applications such as robot navigation …
Artificial intelligence for low level suspicious activity detection
P Thombare, V Gond, VR Satpute - … on Advances in Systems, Control and …, 2021 - Springer
Human activity detection using video surveillance system is the processing of consecutive
video frames and analysing any suspicious activity occurring in the video. Detection of …
video frames and analysing any suspicious activity occurring in the video. Detection of …
Real-time detection of moving objects in a video sequence by using data fusion algorithm
The moving object detection and tracking technology has been widely deployed in visual
surveillance for security, which is, however, an extremely challenge to achieve real-time …
surveillance for security, which is, however, an extremely challenge to achieve real-time …
Fusing self-organized neural network and keypoint clustering for localized real-time background subtraction
Moving object detection in video streams plays a key role in many computer vision
applications. In particular, separation between background and foreground items represents …
applications. In particular, separation between background and foreground items represents …
2D+ t track detection via relative persistent homology
In this paper, we demonstrate that algebraic topology can be used to perform 2D+ t object
detection. After the construction of a topological complex for a 2D+ t image sequence, we …
detection. After the construction of a topological complex for a 2D+ t image sequence, we …
Region MoG and texture descriptor-based motion segmentation under sudden illumination in continuous pan and excess zoom
E Komagal, B Yogameena - Multimedia Tools and Applications, 2018 - Springer
Recently violent crimes have increased, and hence, the society is in need of intelligent
surveillance system for security applications, like scenarios including ATM, banks, traffic …
surveillance system for security applications, like scenarios including ATM, banks, traffic …
A Benchmark of Motion Detection Algorithms for Static Camera: Application on CDnet 2012 Dataset
K Sehairi, C Fatima, J Meunier - … and Applications: Proceedings of the 3rd …, 2019 - Springer
The main aim behind this study relates to comparing a variety of motion detection methods
for a mono static camera and it endeavors to identify the best method for different …
for a mono static camera and it endeavors to identify the best method for different …