Results 11 to 20 of about 21,739 (288)

Patch-Based Background Initialization in Heavily Cluttered Video [PDF]

IEEE Transactions on Image Processing, 2010
In this paper, we propose a patch-based technique for robust background initialization that exploits both spatial and temporal consistency of the static background. The proposed technique is able to cope with heavy clutter, i.e, foreground objects that stand still for a considerable portion of time. First, the sequence is subdivided in patches that are
A. Colombari, FUSIELLO, Andrea
openaire   +5 more sources

Multi-modal Background Model Initialization

, 2015
Background subtraction is a widely used technique for detecting moving objects in image sequences. Very often background subtraction approaches assume the availability of one or more clear frames (i.e., without foreground objects) at the beginning of the image sequence in input. This strong assumption is not always correct, especially when dealing with
Domenico Bloisi, Alfonso Grillo, Andrea Pennisi, Luca Iocchi, Claudio Passaretti   +4 more
openaire   +3 more sources

Background Initialization in Cluttered Sequences

2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006
In this paper we propose a technique to robustly estimate the background in a cluttered sequence, i.e., a sequence where occluding objects persist in the same position for a considerable portion of time. As pixel-level heuristic are not sufficient in this case, we introduce spatial support. First the sequence is subdivided in patches that are clustered
Andrea Colombari, Andrea Fusiello, Vittorio Murino   +2 more
core   +5 more sources

Comparison of Matrix Completion Algorithms for Background Initialization in Videos [PDF]

, 2015
Background model initialization is commonly the first step of the background subtraction process. In practice, several challenges appear and perturb this process such as dynamic background, bootstrapping, illumination changes, noise image, etc. In this context, this work aims to investigate the background model initialization as a matrix completion ...
Andrews Sobral, Thierry Bouwmans, El-hadi Zahzah   +2 more
openaire   +2 more sources

Vortex Initialization in the NCEP Operational Hurricane Models

Atmosphere, 2020
This paper describes the vortex initialization (VI) currently used in NCEP operational hurricane models (HWRF and HMON, and possibly HAFS in the future).
Qingfu Liu, Xuejin Zhang, Mingjing Tong, Zhan Zhang, Bin Liu, Weiguo Wang, Lin Zhu, Banglin Zhang, Xiaolin Xu, Samuel Trahan, Ligia Bernardet, Avichal Mehra, Vijay Tallapragada   +12 more
doaj   +3 more sources

Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization [PDF]

IEEE Transactions on Circuits and Systems for Video Technology, 2018
Background modeling constitutes the building block of many computer-vision tasks. Traditional schemes model the background as a low rank matrix with corrupted entries. These schemes operate in batch mode and do not scale well with the data size. Moreover, without enforcing spatiotemporal information in the low-rank component, and because of occlusions ...
Sajid Javed, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung   +3 more
core   +5 more sources

Fast Background Initialization with Recursive Hadamard Transform

2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010
In this paper, we present a new and fast techniquefor background estimation from cluttered image sequences.Most of the background initialization approaches developedso far collect a number of initial frames and then requirea slow estimation step which introduces a delay wheneverit is applied.
BALTIERI, DAVIDE, VEZZANI, Roberto, CUCCHIARA, Rita   +2 more
openaire   +2 more sources

Background Initialization with A New Robust Statistical Approach [PDF]

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2006
Initializing a background model requires robust statistical methods as the task should be robust against random occurrences of foreground objects, as well as against general image noise. The median has been employed for the problem of background initialization. However, the median has only a breakdown point of 50%.
null Hanzi Wang, D. Suter
openaire   +2 more sources

A New Vortex Initialization Scheme Coupled with WRF-ARW [PDF]

Advances in Meteorology, 2017
The ability of numerical simulations to predict typhoons has been improved in recent decades. Although the track prediction is satisfactory, the intensity prediction is still far from adequate.
Jimmy Chi Hung Fung, Guangze Gao
doaj   +2 more sources

Towards Benchmarking Scene Background Initialization [PDF]

, 2015
6 pages, SBI dataset, SBMI2015 ...
Maddalena Lucia, Petrosino Alfredo
core   +9 more sources