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

Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

759
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
759
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

780
Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
780
Moment of Inertia of Compound Objects01:07

Moment of Inertia of Compound Objects

7.5K
The moment of inertia is a quantitative measure of the rotational inertia of an object. It is defined as the sum of the products obtained by multiplying the mass of each particle of matter in a given body by the square of its distance from the axis. The total moment of inertia for compound objects can be found by determining and adding the moment of inertia of individual components together.
Consider a child of mass (mc) 25 kg standing at a distance (rc) of 1 m from the axis of a rotating...
7.5K

You might also read

Related Articles

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

Sort by
Same author

AMSCN: A Novel Dual-Task Model for Automatic Modulation Classification and Specific Emitter Identification.

Sensors (Basel, Switzerland)·2023
Same author

MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review.

Sensors (Basel, Switzerland)·2022
Same author

Spatial Attention Fusion for Obstacle Detection Using MmWave Radar and Vision Sensor.

Sensors (Basel, Switzerland)·2020
Same author

The Felodipine Event Reduction (FEVER) Study: a randomized long-term placebo-controlled trial in Chinese hypertensive patients.

Journal of hypertension·2005
Same author

More tea for septic patients?--Green tea may reduce endotoxin-induced release of high mobility group box 1 and other pro-inflammatory cytokines.

Medical hypotheses·2005
Same author

[Cytokines secretion by peripheral blood mononuclear cells from hepatitis C patients after stimulation with synthetic peptides at the highly variable region].

Zhonghua shi yan he lin chuang bing du xue za zhi = Zhonghua shiyan he linchuang bingduxue zazhi = Chinese journal of experimental and clinical virology·2005
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 26, 2026

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.4K

Online Siamese Network for Visual Object Tracking.

Shuo Chang1, Wei Li2, Yifan Zhang3

  • 1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China. changshuo@bupt.edu.cn.

Sensors (Basel, Switzerland)
|April 21, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an online-learning Siamese network for robust visual object tracking. The novel approach adapts to target changes, enhancing tracking accuracy and performance on benchmarks.

Keywords:
Bayesian verificationSiamese networkimproved contrastive lossvisual object tracking

More Related Videos

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.6K
Author Spotlight: Advancing Knowledge in Far-From-Equilibrium Materials Through Light-Sheet Microscopy
08:32

Author Spotlight: Advancing Knowledge in Far-From-Equilibrium Materials Through Light-Sheet Microscopy

Published on: January 26, 2024

3.2K

Related Experiment Videos

Last Updated: Jan 26, 2026

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

12.4K
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.6K
Author Spotlight: Advancing Knowledge in Far-From-Equilibrium Materials Through Light-Sheet Microscopy
08:32

Author Spotlight: Advancing Knowledge in Far-From-Equilibrium Materials Through Light-Sheet Microscopy

Published on: January 26, 2024

3.2K

Area of Science:

  • Computer Vision
  • Machine Learning
  • Artificial Intelligence

Background:

  • Offline-trained Siamese networks struggle with environmental changes in visual object tracking.
  • Lack of online learning prevents adaptation to target appearance variations.

Purpose of the Study:

  • To propose a lightweight Siamese network for robust visual object tracking.
  • To enable online adaptation to target and background dynamics.
  • To improve target discrimination and selection accuracy.

Main Methods:

  • Developed a lightweight Siamese network with online weight updates.
  • Integrated cross-entropy loss into contrastive loss for enhanced discrimination.
  • Applied a Bayesian verification model for candidate selection, inspired by face verification.

Main Results:

  • The proposed Siamese network demonstrates effective online adaptation.
  • Enhanced discrimination capability through integrated loss functions.
  • Bayesian verification improves candidate selection in visual tracking.

Conclusions:

  • Online learning significantly improves Siamese network robustness in visual object tracking.
  • The integration of face verification techniques offers benefits for object tracking.
  • The developed algorithm achieves competitive performance on public benchmarks.