Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning.

Plant phenomics (Washington, D.C.)·2024

Same author

Variable Temporal Length Training for Action Recognition CNNs.

Sensors (Basel, Switzerland)·2024

Same author

A Multiscale Point-Supervised Network for Counting Maize Tassels in the Wild.

Plant phenomics (Washington, D.C.)·2023

Same author

From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild.

Plant phenomics (Washington, D.C.)·2023

Same author

A Segmentation-Guided Deep Learning Framework for Leaf Counting.

Frontiers in plant science·2022

Same author

FPGA-based systolic deconvolution architecture for upsampling.

PeerJ. Computer science·2022

Same journal

A New Human-Likeness and Comfort Index for Robot Movements Along Prescribed Paths.

IEEE transactions on cybernetics·2026

Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026

Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026

Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026

Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026

Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 25, 2026

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

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

Published on: November 7, 2025

Significant body point labeling and tracking.

Faisal Azhar, Tardi Tjahjadi

IEEE Transactions on Cybernetics

|August 20, 2014

Summary

This summary is machine-generated.

This study introduces a novel method for labeling and tracking significant body points (SBPs) using implicit body models. The approach robustly identifies human poses and tracks body landmarks across various activities and resolutions.

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

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

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Related Experiment Videos

Last Updated: Apr 25, 2026

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

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

Published on: November 7, 2025

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

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

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Area of Science:

Computer Vision
Human Pose Estimation
Biomechanical Modeling

Background:

Accurate tracking of anatomical landmarks is crucial for human-computer interaction and activity recognition.
Existing methods often struggle with occlusions and varying data resolutions.

Purpose of the Study:

To develop a robust method for labeling and tracking significant body points (SBPs) using implicit body models.
To classify human postures (Stand, Sit, Lie) and generate stick figures representing various activities.

Main Methods:

Utilized an inverted pendulum model for human body representation.
Applied ellipse fitting and contour moments for posture classification.
Employed convex hull of silhouette contour for SBP localization.
Incorporated particle filter or motion flow for occlusion handling.

Main Results:

Successfully labeled and tracked SBPs across diverse activities.
Demonstrated robustness in both low and high-resolution datasets.
Generated accurate stick figures representing human movements.

Conclusions:

The proposed method offers a robust solution for SBP labeling and tracking.
Effective for human pose estimation and activity analysis in various conditions.