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
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

702
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
702
Functional Classification of Joints01:09

Functional Classification of Joints

9.1K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
9.1K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

6.8K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
6.8K
Contingency Table01:29

Contingency Table

4.9K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
4.9K
Structural Classification of Joints01:20

Structural Classification of Joints

8.8K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
8.8K

You might also read

Related Articles

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

Sort by
Same author

Effects of Commercial Exergames vs. Traditional Indoor Exercise on Mood in Older Adults: A Randomized Controlled Trial.

Healthcare (Basel, Switzerland)ยท2026
Same author

Acupuncture therapy for post-stroke spasticity: a systematic review and exploratory network meta-analysis of clinical efficacy and dose-response relationship.

Frontiers in neurologyยท2026
Same author

Effectiveness of Immediate Angioplasty or Stenting on Functional Outcomes in Acute Ischemic Stroke With Severe Intracranial Stenosis.

Neurologyยท2026
Same author

Intra-Arterial Alteplase After Successful Endovascular Reperfusion in Acute Stroke: The PEARL Randomized Clinical Trial.

JAMAยท2026
Same author

Comparative Transcriptomic Analysis of Chlorophyll Metabolism in Broccoli Under Preharvest 1-MCP Application Versus Pre-Cooling Combined with Cold Chain Storage.

Foods (Basel, Switzerland)ยท2026
Same author

Comparative Composition, Interfacial Properties, and Antioxidant Activity of Flaxseed Protein Isolates from Different Varieties.

Foods (Basel, Switzerland)ยท2026

Related Experiment Video

Updated: Apr 4, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K

Context-Aware Activity Modeling Using Hierarchical Conditional Random Fields.

Yingying Zhu, Nandita M Nayak, Amit K Roy-Chowdhury

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |September 10, 2015
    PubMed
    Summary

    This study introduces a novel method for recognizing related activities in videos by jointly modeling motion and context. The hierarchical model effectively captures spatial-temporal relationships for improved video understanding.

    More Related Videos

    Watershed Planning within a Quantitative Scenario Analysis Framework
    12:44

    Watershed Planning within a Quantitative Scenario Analysis Framework

    Published on: July 24, 2016

    8.8K

    Related Experiment Videos

    Last Updated: Apr 4, 2026

    Trajectory Data Analyses for Pedestrian Space-time Activity Study
    16:14

    Trajectory Data Analyses for Pedestrian Space-time Activity Study

    Published on: February 25, 2013

    14.3K
    Watershed Planning within a Quantitative Scenario Analysis Framework
    12:44

    Watershed Planning within a Quantitative Scenario Analysis Framework

    Published on: July 24, 2016

    8.8K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Recognizing individual activities in videos often overlooks their contextual relationships.
    • Activities in videos frequently occur in space and time, influencing each other.

    Purpose of the Study:

    • To develop a method for jointly modeling and recognizing related activities in video scenes.
    • To leverage both motion and context features for enhanced activity recognition.

    Main Methods:

    • A two-layer conditional random field (CRF) model is proposed for hierarchical representation of action segments and activities.
    • The model integrates motion and context features at different hierarchical levels.
    • A max-margin learning framework is used with weakly labeled training data, solved via an iterative algorithm.

    Main Results:

    • The proposed model simultaneously predicts optimal structural labels for related activities within a scene.
    • Demonstrated promising results on the UCLA Office Dataset and VIRAT Ground Dataset.
    • Validated the benefits of hierarchical modeling for related activities using motion and context.

    Conclusions:

    • Jointly modeling related activities with hierarchical structures and contextual information improves video understanding.
    • The proposed CRF model effectively integrates multi-level features for robust activity recognition.
    • This approach offers a more comprehensive method for analyzing complex scenes in videos.