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» Proposals of Co-occurrence Frequency Image Based Filters
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ICIP
2005
IEEE
14 years 9 months ago
Augmented particle filtering for efficient visual tracking
Visual tracking is one of the key tasks in computer vision. The particle filter algorithm has been extensively used to tackle this problem due to its flexibility. However the conv...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
ICIP
2001
IEEE
14 years 9 months ago
Multiscale anisotropic filtering of color images
In this paper, a new anisotropic diffusion noise filtering technique is proposed. The technique has two specific features: it is designed for vector-valued images in general and f...
Paul Scheunders, Jan Sijbers
AMDO
2004
Springer
14 years 1 months ago
Image Cues Fusion for Object Tracking Based on Particle Filter
Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...
Peihua Li, François Chaumette
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Noise filtering method for color images based on LDA and nonlinear diffusion
The purpose of noise filtering for images is to preserve features such as edge or corners in images, while reducing noise. Recent noise filtering algorithms based on diffusion e...
Woong Hee Kim, Thomas Sikora
ICASSP
2011
IEEE
12 years 11 months ago
Mixture Kalman filtering for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...
Ali A. Nasir, Salman Durrani, Rodney A. Kennedy