Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Emission Spectra02:39

Emission Spectra

76.3K
When solids, liquids, or condensed gases are heated sufficiently, they radiate some of the excess energy as light. Photons produced in this manner have a range of energies, and thereby produce a continuous spectrum in which an unbroken series of wavelengths is present.
76.3K
Neural Regulation01:37

Neural Regulation

43.4K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.4K
Cross-Sectional Research01:50

Cross-Sectional Research

12.5K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.5K
Plant Hormones01:56

Plant Hormones

27.5K
Plant hormones—or phytohormones—are chemical molecules that modulate one or more physiological processes of a plant. In animals, hormones are often produced in specific glands and circulated via the circulatory system. However, plants lack hormone-producing glands.
27.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Symptom Clusters and Quality of Life in Cervical Cancer Patients During the Perioperative Period: A Longitudinal Study.

Patient preference and adherence·2026
Same author

Perioperative Symptom Trajectories and a Risk Prediction Model for Cervical Cancer: A Prospective Longitudinal Study.

International journal of women's health·2026
Same author

Lamprey 3D single-cell transcriptomics reveals ancestral and specialized features of the vertebrate brain.

Science (New York, N.Y.)·2026
Same author

p53 overexpression counteracts the pro-survival effect of Bcl-2 by restoring MAMs function in cutaneous squamous cell carcinoma.

Cell division·2026
Same author

Artificial Intelligence in Heart Failure with Preserved Ejection Fraction.

Diagnostics (Basel, Switzerland)·2026
Same author

Herpes simplex virus 1 UL2 protein inhibits RIG-I-like receptor pathway-induced IFN-β activity by disrupting IRF3 activation.

International journal of medical microbiology : IJMM·2026
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Spectral Reflectometric Microscopy on Myelinated Axons In Situ
09:13

Spectral Reflectometric Microscopy on Myelinated Axons In Situ

Published on: July 2, 2018

7.7K

Spectral Filter Tracking.

Zhen Cui, Youyi Cai, Wenming Zheng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 21, 2018
    PubMed
    Summary
    This summary is machine-generated.

    Spectral Filter Tracking (SFT) offers an efficient graph-based approach for visual object tracking. This method outperforms traditional correlation filters by learning spectral filters on localized regions, achieving state-of-the-art results.

    More Related Videos

    3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
    11:28

    3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

    Published on: October 1, 2014

    10.7K
    RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
    11:37

    RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

    Published on: August 8, 2017

    17.0K

    Related Experiment Videos

    Last Updated: Jan 31, 2026

    Spectral Reflectometric Microscopy on Myelinated Axons In Situ
    09:13

    Spectral Reflectometric Microscopy on Myelinated Axons In Situ

    Published on: July 2, 2018

    7.7K
    3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
    11:28

    3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles

    Published on: October 1, 2014

    10.7K
    RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
    11:37

    RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

    Published on: August 8, 2017

    17.0K

    Area of Science:

    • Computer Vision
    • Graph Theory
    • Machine Learning

    Background:

    • Visual object tracking is a complex computer vision problem with broad applications.
    • Existing methods often struggle with local variations and cluttered backgrounds.
    • Conventional graph matching is computationally intensive for tracking.

    Purpose of the Study:

    • To introduce a novel and efficient Spectral Filter Tracking (SFT) method.
    • To reformulate visual object tracking as a spectral filtering problem on graphs.
    • To improve tracking robustness against local variations and background clutter.

    Main Methods:

    • Modeling candidate image regions as pixelwise grid graphs.
    • Formulating tracking as a least squares regression problem to learn spectral filters.
    • Parameterizing spectral graph filters as polynomials of the graph Laplacian to aggregate local features.
    • Utilizing k-hop neighborhood information encoded by powers of the graph Laplacian.

    Main Results:

    • SFT operates on localized regions, reducing the impact of local variations.
    • The proposed method demonstrates superior performance compared to correlation filter-based models.
    • Achieved state-of-the-art results on benchmark datasets OTB-2015 and VOT2016.

    Conclusions:

    • Spectral Filter Tracking (SFT) provides a simple yet effective solution for visual object tracking.
    • The method leverages spectral graph theory for robust and efficient tracking.
    • SFT represents a significant advancement over existing correlation filter techniques.