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

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

800
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
800
Observational Learning01:12

Observational Learning

1.1K
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
1.1K
Modeling and Similitude01:12

Modeling and Similitude

678
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
678
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.0K
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
1.0K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

1.2K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Predicting DNA damage response using synthetic cell painting profiles and experimental analysis.

iScience·2026
Same author

Correction: Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle.

PloS one·2025
Same author

Precise phenotyping method using image data for carcass marbling score in Hanwoo cattle.

PloS one·2025
Same author

Features of bacterial and fungal communities in the rhizosphere of <i>Gastrodia elata</i> cultivated in greenhouse for early harvest.

Frontiers in microbiology·2024
Same author

Increased CD16a (FcγRIIIA) Expression in The Tumor Microenvironment of Atypical Neurofibromatous Neoplasms of Uncertain Biologic Potential May Be Associated with Progression from Neurofibromas to Atypical Neurofibromas.

Journal of personalized medicine·2023
Same author

<i>Gastrodia elata</i> rhizoma ameliorates thioacetamide-induced liver injury in dogs.

Journal of advanced veterinary and animal research·2023

Related Experiment Video

Updated: Feb 25, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K

Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling With Reliable Object

Yeong Jun Koh, Chang-Su Kim

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |August 10, 2017
    PubMed
    Summary

    This study introduces a new primary object discovery (POD) algorithm that effectively identifies key objects in videos. The novel method leverages object recurrence and reliable proposals for superior performance in video analysis.

    More Related Videos

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
    07:34

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

    Published on: November 7, 2025

    313
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    1.1K

    Related Experiment Videos

    Last Updated: Feb 25, 2026

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    9.7K
    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
    07:34

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

    Published on: November 7, 2025

    313
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    1.1K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Video Analysis

    Background:

    • Automated identification of primary objects in video sequences is crucial for many applications.
    • Existing methods often struggle with reliability and accurately exploiting object characteristics.

    Purpose of the Study:

    • To propose a novel primary object discovery (POD) algorithm.
    • To enhance the accuracy and reliability of object detection in video sequences.

    Main Methods:

    • Generating color-based and motion-based object proposals.
    • Utilizing random walk with restart for feature extraction.
    • Employing evolutionary modeling to exploit object recurrence.
    • Refining bounding boxes using temporal correlations.

    Main Results:

    • The proposed POD algorithm significantly outperforms conventional methods.
    • Demonstrated superior performance in identifying primary objects within video frames.
    • Successfully removed unreliable object proposals through foreground confidence estimation.

    Conclusions:

    • The novel POD algorithm offers a significant advancement in video object discovery.
    • Exploiting object recurrence and reliable proposals leads to improved detection accuracy.
    • The method provides a robust framework for primary object identification in dynamic visual data.