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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

319
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
319
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

425
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
425
Velocity of an Object01:18

Velocity of an Object

207
Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
207
Integration of Synaptic Events01:28

Integration of Synaptic Events

4.2K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
4.2K
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

803
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,...
803
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

817
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...
817

You might also read

Related Articles

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

Sort by
Same author

Behavior of neural networks in culture suggest that sporadic and genetic forms of Alzheimer's disease may not be equivalent.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Bio-based PEDOT: nanocellulose hybrids as efficient hole-transport layers for photoelectrochemical devices.

Nanoscale·2026
Same author

Bio-Inspired Spike-Timing-Dependent Plasticity Learning with Metal Halide Perovskites: Toward Artificial Synaptic Functionality.

ACS applied materials & interfaces·2026
Same author

Hardware Implementation of a Real-Time Adaptive Time-Series Segmentation Algorithm for Intracortical Implants.

IEEE transactions on biomedical circuits and systems·2025
Same author

Update Disturbance-Resilient Analog ReRAM Crossbar Arrays for In-Memory Deep Learning Accelerators.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Self-Supervised High-Order Information Bottleneck Learning of Spiking Neural Network for Robust Event-Based Optical Flow Estimation.

IEEE transactions on pattern analysis and machine intelligence·2025
Same journal

ASSR-Net: Anisotropic Structure-Aware and Spectrally Recalibrated Network for Hyperspectral Image Fusion.

IEEE transactions on neural networks and learning systems·2026
Same journal

PIMPC-GNN: Physics-Informed Multiphase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks.

IEEE transactions on neural networks and learning systems·2026
Same journal

Quantum Rényi α-Entropies for Graph Characterization.

IEEE transactions on neural networks and learning systems·2026
Same journal

LANet: A Lightweight and Accurate Balanced Network Based on State Space Models for Real-Time Semantic Segmentation.

IEEE transactions on neural networks and learning systems·2026
Same journal

MENDNet: Memory-Enhanced Dependency Network for Multistock Movement Prediction.

IEEE transactions on neural networks and learning systems·2026
Same journal

Temporal Mask-Embedding Learning and Query-Refined Head Network for Visual Tracking.

IEEE transactions on neural networks and learning systems·2026
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

How to Obtain Reliable Visual Event-related Potentials in Newborns
07:39

How to Obtain Reliable Visual Event-related Potentials in Newborns

Published on: October 24, 2019

6.8K

Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion.

Luis A Camunas-Mesa, Teresa Serrano-Gotarredona, Sio-Hoi Ieng

    IEEE Transactions on Neural Networks and Learning Systems
    |July 11, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an event-driven stereo object tracking algorithm using dynamic vision sensors (DVSs). It effectively tracks objects in 3D, even during occlusion, by integrating 3D reconstruction and cluster tracking for improved computer vision applications.

    More Related Videos

    Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy
    12:40

    Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

    Published on: October 20, 2014

    81.0K
    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
    07:36

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

    Published on: November 30, 2018

    16.4K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    How to Obtain Reliable Visual Event-related Potentials in Newborns
    07:39

    How to Obtain Reliable Visual Event-related Potentials in Newborns

    Published on: October 24, 2019

    6.8K
    Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy
    12:40

    Visualizing Clathrin-mediated Endocytosis of G Protein-coupled Receptors at Single-event Resolution via TIRF Microscopy

    Published on: October 20, 2014

    81.0K
    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
    07:36

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

    Published on: November 30, 2018

    16.4K

    Area of Science:

    • Computer Vision
    • Robotics
    • Neuromorphic Engineering

    Background:

    • Object tracking is computationally expensive in computer vision.
    • Neuromorphic event-driven dynamic vision sensors (DVSs) offer efficient data processing and high temporal resolution.
    • Existing DVS-based tracking struggles with object occlusion.

    Purpose of the Study:

    • To develop an event-driven stereo object tracking algorithm.
    • To integrate 3D reconstruction and cluster tracking for enhanced performance.
    • To address ambiguities in object tracking, especially during occlusion.

    Main Methods:

    • Proposed a novel event-driven stereo object tracking algorithm.
    • Integrated 3D reconstruction and cluster tracking with feedback mechanisms.
    • Utilized bio-inspired principles mimicking human vision for object identification and size learning.

    Main Results:

    • Successfully tracked 3D positions of two objects in stereo setups, even with occlusion.
    • Achieved high accuracy, with distance measurement errors below 0.5% for swinging pens.
    • Demonstrated high-speed tracking capabilities with rotating objects and real-world scenarios involving people.

    Conclusions:

    • The proposed algorithm effectively handles object tracking challenges, including occlusion.
    • The integration of 3D reconstruction and cluster tracking with feedback improves robustness.
    • This approach shows significant potential for advanced computer vision and robotics applications.