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

Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

1.5K
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
1.5K
Orthogonal Trajectories01:26

Orthogonal Trajectories

226
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
226
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
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...
1.1K
Distance Measurements by Taping01:18

Distance Measurements by Taping

628
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
628
Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

1.2K
In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position...
1.2K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

842
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...
842

You might also read

Related Articles

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

Sort by
Same author

PixOOD: Pixel-Level Out-of-Distribution Detection.

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

Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings.

Frontiers in plant science·2022
Same author

Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook.

IEEE transactions on pattern analysis and machine intelligence·2022
Same author

Soil organic matter molecular composition with long-term detrital alterations is controlled by site-specific forest properties.

Global change biology·2022
Same author

Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds.

IEEE transactions on pattern analysis and machine intelligence·2022
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Mar 30, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

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

Published on: November 7, 2025

467

Texture-Independent Long-Term Tracking Using Virtual Corners.

Karel Lebeda, Simon Hadfield, Jiri Matas

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |November 10, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel visual tracking algorithm using edge-based features for robust, long-term object tracking. It excels in challenging scenarios, outperforming existing methods, especially with low-textured or plain objects.

    More Related Videos

    Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
    07:21

    Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

    Published on: February 12, 2011

    14.9K
    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
    12:39

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

    Published on: January 18, 2020

    8.3K

    Related Experiment Videos

    Last Updated: Mar 30, 2026

    Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
    07:34

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

    Published on: November 7, 2025

    467
    Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
    07:21

    Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

    Published on: February 12, 2011

    14.9K
    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
    12:39

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

    Published on: January 18, 2020

    8.3K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Robotics

    Background:

    • Long-term object tracking from a single initial frame is a significant challenge.
    • Existing methods often struggle with variations in lighting, object appearance, and occlusions.
    • Texture-based tracking fails for low-textured or plain objects.

    Purpose of the Study:

    • To develop a robust visual tracking algorithm for long-term object tracking.
    • To overcome limitations of texture-reliant tracking methods.
    • To improve tracking stability, drift recovery, and redetection capabilities.

    Main Methods:

    • Utilizes correspondences of edge-based features for object representation.
    • Employs a two-module principle for long-term stability and redetection.
    • Addresses challenges like lighting invariance, drift, occlusion, and disappearance.

    Main Results:

    • Demonstrates superior performance on challenging sequences, including low-textured and transparent objects.
    • Achieved successful tracking on a sequence of nearly 30,000 frames, showcasing long-term stability.
    • Outperforms state-of-the-art methods on benchmarks like VOT Challenge 2013/2014 and VTB1.0, especially for non-textured objects.

    Conclusions:

    • The proposed edge-based visual tracking algorithm offers robust and stable long-term object tracking.
    • It provides significant advantages over existing methods, particularly for objects lacking texture.
    • Publicly released annotated sequences will facilitate further research in visual tracking.