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

Fixed Action Patterns01:06

Fixed Action Patterns

17.5K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.5K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

881
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...
881
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

539
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
539
Association Areas of the Cortex01:21

Association Areas of the Cortex

8.9K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
8.9K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

704
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...
704
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

815
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
815

You might also read

Related Articles

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

Sort by
Same author

Effects of inactivated <i>Lactobacillus acidophilus</i> on growth performance, blood parameters, fecal fermentation and microbiota in neonatal Holstein calves.

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2026
Same author

Screening and analysis of plasma small extracellular vesicle MiRNAs at various estrous cycle phases of goat.

Journal of ovarian research·2025
Same author

Effects of different concentrations of <i>Lactiplantibacillus plantarum</i> and <i>Bacillus licheniformis</i> on silage fermentation parameter, chemical composition and microbial community of <i>Pennisetum sinese</i>.

Frontiers in microbiology·2025
Same author

Real-Time Depth Completion With Multimodal Feature Alignment.

IEEE transactions on neural networks and learning systems·2025
Same author

Dietary Capsaicin Supplementation Mitigates Calving-Induced Stress and Enhances Antioxidant Capacity, Immune Function, and Gut Microbiota in Periparturient Dairy Cows.

Antioxidants (Basel, Switzerland)·2025
Same author

Dynamic Changes in Intestinal Microorganisms and Hematological Indices in Giraffes of Different Ages, and the Effect of Diarrhea on Intestinal Microbiota.

Animals : an open access journal from MDPI·2024

Related Experiment Video

Updated: Jan 17, 2026

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
10:51

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

8.8K

Toward an Effective Action-Region Tracking Framework for Fine-Grained Video Action Recognition.

Baoli Sun, Yihan Wang, Xinzhu Ma

    IEEE Transactions on Neural Networks and Learning Systems
    |September 19, 2025
    PubMed
    Summary

    The action-region tracking (ART) framework effectively recognizes fine-grained actions by tracking subtle local details over time. This novel approach improves upon existing methods by focusing on region-specific dynamics for more accurate action classification.

    More Related Videos

    Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
    05:57

    Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

    Published on: April 8, 2019

    7.2K
    Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
    08:32

    Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

    Published on: June 15, 2020

    13.3K

    Related Experiment Videos

    Last Updated: Jan 17, 2026

    Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
    10:51

    Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

    Published on: January 15, 2018

    8.8K
    Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
    05:57

    Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

    Published on: April 8, 2019

    7.2K
    Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
    08:32

    Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

    Published on: June 15, 2020

    13.3K

    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Fine-grained action recognition (FGAR) faces challenges in distinguishing subtle action differences.
    • Existing methods often miss crucial local details and temporal dynamics.

    Purpose of the Study:

    • Introduce the action-region tracking (ART) framework for improved FGAR.
    • Enable effective distinction between similar fine-grained actions by tracking local details.

    Main Methods:

    • Propose a region-specific semantic activation module using text-constrained queries.
    • Organize region responses into action tracklets to capture spatio-temporal dynamics.
    • Implement multilevel tracklet contrastive constraints and task-specific fine-tuning for semantic optimization.

    Main Results:

    • Demonstrate superior performance over state-of-the-art baselines on multiple benchmarks (FineGym, Diving48, NTURGB-D, Kinetics, Something-Something).
    • ART framework effectively captures and tracks distinctive local details crucial for FGAR.

    Conclusions:

    • The ART framework offers a novel and effective solution for fine-grained action recognition.
    • Tracking region-based dynamics with text-constrained semantics significantly enhances action classification accuracy.