Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Fedwa, Essannouni"'
Publikováno v:
In Computer Vision and Image Understanding August 2017 161:20-28
Publikováno v:
Modelling and Simulation in Engineering, Vol 2016 (2016)
We present a new method for object tracking; we use an efficient local search scheme based on the Kalman filter and the probability product kernel (KFPPK) to find the image region with a histogram most similar to the histogram of the tracked target.
Externí odkaz:
https://doaj.org/article/1b687668b86341e9981f5135e19769a4
Publikováno v:
Multimedia Tools and Applications. 78:1441-1456
The wide spread of multimedia applications and the rapid growth of digital video data require efficient video summarization methods. Extracting brief and pertinent information allows users to quickly browse, recognize and understand a large amount of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2059a9a177658fef143ffd9acaa7f151
https://doi.org/10.1007/s11042-018-6274-0
https://doi.org/10.1007/s11042-018-6274-0
Publikováno v:
Journal of Visual Communication and Image Representation. 34:219-229
A new AR method for real-time object tracking is proposed.The AR method is robust to track the target of the object in different situations.The AR method is faster than different highly preferment algorithms.The AR method achieves good accuracy measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a4428f002c74113c7b2f1f13952ce39
https://doi.org/10.1016/j.jvcir.2015.11.010
https://doi.org/10.1016/j.jvcir.2015.11.010
Publikováno v:
Advances in Visual Computing ISBN: 9783319508313
ISVC (2)
ISVC (2)
One of the first and most important steps in content-based video retrieval is the cut detection. Its effectiveness has a major impact towards subsequent high-level applications such as video summarization. In this paper, a robust video cut detector (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0a6fa1712b2ce4bcf89ccf3f0eed1bf
https://doi.org/10.1007/978-3-319-50832-0_37
https://doi.org/10.1007/978-3-319-50832-0_37
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789812879899
UNet
UNet
In this paper, a novel method for image interpolation is proposed. This method is based on the application of the Laplacian operator for the purpose of detecting the edge-directions and then interpolating the missing pixels using the cubic convolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecc615ad584f9e8a635d31dd821b3aa5
https://doi.org/10.1007/978-981-287-990-5_32
https://doi.org/10.1007/978-981-287-990-5_32
Publikováno v:
Modelling and Simulation in Engineering, Vol 2016 (2016)
We present a new method for object tracking; we use an efficient local search scheme based on the Kalman filter and the probability product kernel (KFPPK) to find the image region with a histogram most similar to the histogram of the tracked target.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83a765716ffa325957d373eff65c100c
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783319302997
This paper presents a new scale and orientation adaptive object tracking system using Kalman filter in a video sequence. This object tracking is an important task in many vision applications. The main steps in video analysis are two: detection of int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cebaf4e25c7b3bd5b3e02f2de42bd79
https://doi.org/10.1007/978-3-319-30301-7_13
https://doi.org/10.1007/978-3-319-30301-7_13
Autor:
Fedwa Essannouni, Driss Aboutajdine
Publikováno v:
IEEE Transactions on Image Processing. 19:826-830
This correspondence proposes a novel template matching technique using a fourth central moment. The fourth central moment is an established estimator which uses higher order statistics theory, important in the presence of an additive Gaussian noise.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac2a0dec489491b4c73e2a862038c375
https://doi.org/10.1109/tip.2009.2037079
https://doi.org/10.1109/tip.2009.2037079
Publikováno v:
Journal of Real-Time Image Processing. 1:257-265
Fast Fourier transforms (FFTs) which are O(N logN) algorithms to compute a discrete Fourier transform (DFT) of size N have been called one of the ten most important algorithms of the twentieth century. However, even though many algorithms have been d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e61acc057101b830815cd4e1e0de17d
https://doi.org/10.1007/s11554-007-0026-0
https://doi.org/10.1007/s11554-007-0026-0