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

18.1K
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.
18.1K
Action Potentials01:41

Action Potentials

150.4K
Overview
150.4K
Muscle Coordination and Action01:24

Muscle Coordination and Action

3.7K
Muscle coordination is a complex and finely tuned process essential for smooth and purposeful movements like flexion, extension, adduction, abduction, and rotation. The human body orchestrates the actions of various muscles working in concert, each with a specific role. Four functional types describe how muscles work together: agonist, antagonist, synergist, and fixator.
Agonists
Agonist muscles, often called prime movers, are the primary muscles responsible for producing a specific movement....
3.7K
Steps in the Modeling Process01:14

Steps in the Modeling Process

816
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
816
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

357
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
357
Impression Management Techniques III: Aligning Actions01:29

Impression Management Techniques III: Aligning Actions

210
Aligning actions are communicative strategies individuals employ to maintain social harmony and preserve personal identity in the face of potential disruptions to social norms. These actions are particularly important in managing social impressions when one's behavior might be seen as inappropriate, incompetent, or morally questionable.Types of Aligning ActionsThe three principal types of aligning actions are disclaimers, accounts, and apologies.DisclaimersDisclaimers are preventive; they are...
210

You might also read

Related Articles

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

Sort by
Same author

The efficacy, safety, and rationale of orelabrutinib combined with obinutuzumab (O2) as a first-line systemic treatment for marginal zone lymphoma.

Blood cancer journal·2026
Same author

Robust Quantum Cutting via Halide-Bearing Ligand Passivation and Gradient Halide Reconstruction for Ultrabroadband Ultraviolet-to-Near-Infrared Photodetection and Imaging.

ACS nano·2026
Same author

Robust retrieval of biophysical traits under shade gradients in young <i>Hopea hainanensis</i> using visible and near-infrared hyperspectral hybrid modeling.

Frontiers in plant science·2026
Same author

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Effects of 12-weeks of Brisk Walking on Health-related Physical Fitness, Balance, and Life Satisfaction in Overweight Older Chinese Women: A Cluster Randomized Control Trial.

PloS one·2026
Same author

[Whole-cell catalytic synthesis of 2,5-furandicarboxylic acid].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2026

Related Experiment Video

Updated: Apr 3, 2026

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

11.2K

Action recognition through discovering distinctive action parts.

Feifei Chen, Nong Sang, Xiaoqin Kuang

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |September 15, 2015
    PubMed
    Summary

    This study introduces a new method for automatically discovering human action parts from videos. This approach improves human action recognition by using these parts as a visual vocabulary, achieving state-of-the-art results.

    More Related Videos

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.9K
    Corticospinal Excitability Modulation During Action Observation
    12:33

    Corticospinal Excitability Modulation During Action Observation

    Published on: December 31, 2013

    9.5K

    Related Experiment Videos

    Last Updated: Apr 3, 2026

    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
    11:18

    Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

    Published on: June 1, 2015

    11.2K
    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.9K
    Corticospinal Excitability Modulation During Action Observation
    12:33

    Corticospinal Excitability Modulation During Action Observation

    Published on: December 31, 2013

    9.5K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Human action recognition is crucial for understanding video content.
    • Discovering semantic mid-level visual concepts, like action parts, is a key challenge.
    • Existing methods often struggle with automatic and effective action part discovery.

    Purpose of the Study:

    • To develop a method for automatically discovering distinctive mid-level action parts from video.
    • To enhance human action recognition by utilizing these discovered parts.
    • To propose a novel evaluation metric for selecting effective action part detectors.

    Main Methods:

    • Learning and selecting discriminative action part detectors directly from video data.
    • Training candidate exemplar-linear discriminant analysis detectors from clustered spatiotemporal patches.
    • Introducing coverage-entropy (CE) curves to evaluate detector distinctiveness and representativeness.
    • Applying mined part detectors as a visual vocabulary for action recognition.

    Main Results:

    • The proposed method effectively discovers representative and discriminative action parts.
    • Coverage-entropy curves provide a robust evaluation for detector selection.
    • Action recognition performance was evaluated on KTH, Olympic Sports, UCF50, and HMDB51 datasets.
    • The approach achieved state-of-the-art recognition performance.

    Conclusions:

    • The automatic discovery of mid-level action parts is feasible and beneficial for action recognition.
    • The proposed CE curves offer a novel way to assess detector quality.
    • This method provides a powerful visual vocabulary for advanced video analysis.