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

Vector Functions and Motion: Problem Solving

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...

Relative Motion Analysis using Rotating Axes-Problem Solving

Relative Motion Analysis using Rotating Axes-Problem Solving

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...

Relative Motion Analysis using Rotating Axes

Relative Motion Analysis using Rotating Axes

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 instrumental in...

You might also read

Related Articles

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

Sort by

Same author

Transformer-Based Models for Predicting Molecular Structures from Infrared Spectra Using Patch-Based Self-Attention.

The journal of physical chemistry. A·2025

Same author

Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2024

Same author

Weakly-Supervised RGBD Video Object Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2024

Same author

eWaSR-An Embedded-Compute-Ready Maritime Obstacle Detection Network.

Sensors (Basel, Switzerland)·2023

Same author

Joint Calibration of a Multimodal Sensor System for Autonomous Vehicles.

Sensors (Basel, Switzerland)·2023

Same author

Learning with Weak Annotations for Robust Maritime Obstacle Detection.

Sensors (Basel, Switzerland)·2022

Same journal

Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015

Same journal

Meta-Analysis of the First Facial Expression Recognition Challenge.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012

Same journal

Adjustable model-based fusion method for multispectral and panchromatic images.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012

Same journal

Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012

Same journal

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012

Same journal

Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 15, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

A two-stage dynamic model for visual tracking.

Matej Kristan¹, Stanislav Kovacic, Aleš Leonardis

¹Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|March 11, 2010

Summary

This summary is machine-generated.

A novel two-stage dynamic model enhances blob tracking for diverse motions like pedestrian and hand tracking. This adaptive model improves state estimation accuracy and reduces failure rates, even with fewer particles.

More Related Videos

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Related Experiment Videos

Last Updated: Jun 15, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Area of Science:

Computer Vision
Robotics
Machine Learning

Background:

Blob tracking is crucial for analyzing motion in various applications.
Existing dynamic models struggle with diverse and unpredictable target movements.
Accurate state estimation and reduced failure rates are key challenges in real-time tracking.

Purpose of the Study:

To introduce a new dynamic model for blob trackers.
To enhance the tracking of targets exhibiting varied motion patterns.
To improve the efficiency and accuracy of particle filter-based trackers.

Main Methods:

Developed a "two-stage dynamic model" combining liberal and conservative components.
Implemented the model within a two-stage probabilistic tracker using a particle filter.
Applied the tracker to pedestrian and hand tracking scenarios.

Main Results:

The proposed model achieved accurate tracking with fewer particles (e.g., 25).
Demonstrated significantly smaller errors in state estimation compared to existing models.
Reported a reduced failure rate in tracking experiments.

Conclusions:

The two-stage dynamic model effectively adapts to target motion.
This adaptability leads to improved performance in blob tracking applications.
The model offers a more efficient and robust solution for real-time motion analysis.