Results 41 to 50 of about 1,321,919 (336)

A pseudo-matched filter for chaos

, 2012
A matched filter maximizes the signal-to-noise ratio of a signal. In the recent work of Corron et al. [Chaos 20, 023123 (2010)], a matched filter is derived for the chaotic waveforms produced by a piecewise-linear system.
Cohen, Seth D., Gauthier, Daniel J.
core   +1 more source

TensorTrack: Tensor Decomposition for Video Object Tracking

Mathematics
Video Object Tracking (VOT) is a critical task in computer vision. While Siamese-based and Transformer-based trackers are widely used in VOT, they struggle to perform well on the OTB100 benchmark due to the lack of dedicated training sets. This challenge
Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu   +6 more
doaj   +1 more source

A second-order PHD filter with mean and variance in target number [PDF]

, 2017
The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters are popular solutions to the multi-target tracking problem due to their low complexity and ability to estimate the number and states of targets in cluttered environments.
Clark, Daniel E., Delande, Emmanuel D., Houssineau, Jeremie, Schlangen, Isabel   +3 more
core   +4 more sources

End-to-end representation learning for Correlation Filter based tracking [PDF]

, 2017
The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector
Bertinetto, Luca, Henriques, João F., Torr, Philip H. S., Valmadre, Jack, Vedaldi, Andrea   +4 more
core   +3 more sources

Fast Fourier Transform Networks for Object Tracking Based on Correlation Filter

IEEE Access, 2018
In this paper, we propose fast Fourier transform networks for object tracking, called FFTNet. FFTNet is a correlation filter (CF)-based tracker that integrates two main components of CF, i.e., auto correlation and cross correlation between the features ...
Zhangping He, Zhendong Zhang, Cheolkon Jung   +2 more
doaj   +1 more source

Multi-layer Rotation Memory Model-based correlation filter for visual tracking

Frontiers in Physics, 2022
Object tracking technology is of great significance in laser image processing. However, occlusion or similar interference during visual object tracking may reduce the tracking precision or even cause tracking failure.
Yufei Zhao, Yong Song, Yong Song, Guoqi Li, Lei Deng, Yashuo Bai, Yashuo Bai, Xiyan Wu, Xiyan Wu   +8 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

Visual Tracking With Long-Short Term Based Correlation Filter

IEEE Access, 2020
Visual object tracking is a fundamental problem in computer vision, and has been greatly improved with the rapid development of deep learning. However, existing tracking methods with single model update strategy cannot guarantee the robustness of tracker
Yuxiang Yang, Weiwei Xing, Shunli Zhang, Limin Gao, Qi Yu, Xiaoping Che, Wei Lu   +6 more
doaj   +1 more source

Effect of nonlinear filters on detrended fluctuation analysis [PDF]

, 2005
We investigate how various linear and nonlinear transformations affect the scaling properties of a signal, using the detrended fluctuation analysis (DFA).
Bernaola-Galvan, P., Carpena, P., Chen, Z., Hu, K., Ivanov, P. Ch., Stanley, H. E.   +5 more
core   +1 more source

An FIR Notch Filter for Adaptive Filtering of a Sinusoid in Correlated Noise [PDF]

EURASIP Journal on Advances in Signal Processing, 2006
A novel adaptive FIR filter for the estimation of a single-tone sinusoid corrupted by additive noise is described. The filter is based on an offline optimization procedure which, for a given notch frequency, computes the filter coefficients such that the frequency response is unity at that frequency and a weighted noise gain is minimized.
Osman Kukrer, Aykut Hocanin
openaire   +3 more sources