Fast moving object detection using improved Gaussian mixture models
Y Song, N Fu, X Li, Q Liu - 2014 international conference on …, 2014 - ieeexplore.ieee.org
Gaussian mixture models (GMM) is a widely used approach for background modeling.
However, computational barriers have limited its usage in real-time video processing …
However, computational barriers have limited its usage in real-time video processing …
Efficient method for moving object detection in cluttered background using Gaussian Mixture Model
DK Yadav - 2014 International Conference on Advances in …, 2014 - ieeexplore.ieee.org
Foreground object detection in video is a fundamental step for automated video surveillance
system and many computer vision applications. Mostly moving foreground object is detected …
system and many computer vision applications. Mostly moving foreground object is detected …
A gaussian mixture model with gaussian weight learning rate and foreground detection using neighbourhood correlation
Moving object detection is the first and foremost step in many computer vision applications
such as automated visual surveillance, human-machine interface, tracking, traffic …
such as automated visual surveillance, human-machine interface, tracking, traffic …
Moving objects detection by Gaussian Mixture Model: A comparative analysis
Y Shi, S Cheng, S Quan, J Chen… - … Conference on Electrical …, 2011 - ieeexplore.ieee.org
Robust and real-time moving objects detection is a critical issue in computer vision
application. The Gaussian Mixture Model (GMM) is the most common method to build a …
application. The Gaussian Mixture Model (GMM) is the most common method to build a …
A unified threshold updating strategy for multivariate gaussian mixture based moving object detection
A Thangarajah, QMJ Wu, J Huo - … International Conference on …, 2016 - ieeexplore.ieee.org
Moving object detection is vitally used in video surveillance applications. Traditional
Gaussian mixture model (GMM) based background subtraction (BGS) methods are usually …
Gaussian mixture model (GMM) based background subtraction (BGS) methods are usually …
The improved gaussian mixture model based on motion estimation
Y Zhu, Y Liang, Y Zhu - 2011 Third International Conference on …, 2011 - ieeexplore.ieee.org
To avoid the disadvantage of the globally identical learning rate in classical Gaussian
Mixture Model (GMM), GMM is improved in this paper. The object movements are predicted …
Mixture Model (GMM), GMM is improved in this paper. The object movements are predicted …
Moving object detection based on edged mixture Gaussian models
YH Li, CZ Xiong, YX Yin, YL Liu - 2009 International Workshop …, 2009 - ieeexplore.ieee.org
Learning background statistics is an essential task for several visual surveillance
applications such as incident detection and traffic management. An adaptive foreground …
applications such as incident detection and traffic management. An adaptive foreground …
Moving object detection for visual surveillance using quasi-euclidian distance
DK Yadav, K Singh - Proceedings of the Second International Conference …, 2016 - Springer
Moving object detection is a fundamental step for visual surveillance system, other image
processing, and computer vision applications. The most popular and common technique for …
processing, and computer vision applications. The most popular and common technique for …
Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting
The Mixture of Gaussians (MoG) is a frequently used method for moving objects detection in
a video, but its parameter setting is often tricky for dynamic scenes. Therefore, in this paper …
a video, but its parameter setting is often tricky for dynamic scenes. Therefore, in this paper …
Moving object detection using self adaptive Gaussian Mixture Model for real time applications
Detection of moving objects is an important and difficult task in video surveillance systems.
Background subtraction using Gaussian Mixture Model (GMM) is a widely used approach for …
Background subtraction using Gaussian Mixture Model (GMM) is a widely used approach for …