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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

747
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
747
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

837
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...
837
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.0K
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...
1.0K
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

973
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
973
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

1.1K
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
1.1K
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

1.0K
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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
1.0K

You might also read

Related Articles

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

Sort by
Same author

A lightweight heuristic for cost-efficient IaaS auto-scaling of small-scale web applications.

Scientific reports·2026
Same author

LSR-YOLO: A lightweight and fast model for retail products detection.

PloS one·2025
Same author

The Role of Virtual Reality in Supporting Daily Spiritual Practices Among Muslim Patients Undergoing Haemodialysis Treatment: A Fuzzy Delphi Study.

Journal of advanced nursing·2025
Same author

Proposal-Free Fully Convolutional Network: Object Detection Based on a Box Map.

Sensors (Basel, Switzerland)·2024
Same author

OGAS: Omni-directional Glider Assisted Scheme for autonomous deployment of sensor nodes in open area wireless sensor network.

ISA transactions·2022
Same author

MAC protocol with grouping awareness GMAC for large scale Internet-of-Things network.

PeerJ. Computer science·2021

Related Experiment Video

Updated: Apr 28, 2026

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.0K

Moving object detection using dynamic motion modelling from UAV aerial images.

A F M Saifuddin Saif1, Anton Satria Prabuwono2, Zainal Rasyid Mahayuddin1

  • 1Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bangi, Selangor Darul Ehsan, Malaysia.

Thescientificworldjournal
|June 4, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a new dynamic motion model (DMM) and segmentation approach (SUED) for robust moving object detection in UAV aerial images. The combined method effectively identifies objects by focusing on high pixel intensity areas, improving accuracy.

Related Experiment Videos

Last Updated: Apr 28, 2026

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.0K

Area of Science:

  • Computer Vision
  • Remote Sensing
  • Image Processing

Background:

  • Moving object detection in UAV aerial imagery remains challenging due to inadequate motion estimation.
  • Current methods often rely on separate frame differencing or segmentation, lacking robustness.
  • Pixel intensity measurement for motion analysis is underutilized in existing UAV object detection.

Purpose of the Study:

  • To develop a novel Dynamic Motion Model (DMM) for improved motion estimation.
  • To introduce a Segmentation Using Edge based Dilation (SUED) approach integrated with DMM.
  • To enhance the robustness and accuracy of moving object detection in UAV imagery.

Main Methods:

  • Developed the Dynamic Motion Model (DMM) to identify effective search windows based on pixel intensity.
  • Proposed the Segmentation Using Edge based Dilation (SUED) method, incorporating frame differencing and DMM.
  • Fused DMM and SUED at each stage for targeted moving object segmentation.

Main Results:

  • The DMM effectively narrows search areas to regions with high pixel intensity, optimizing segmentation.
  • The integrated DMM and SUED approach successfully extracts moving objects with high fidelity.
  • Experimental validation confirmed the efficacy and validity of the proposed DMM and SUED methodology.

Conclusions:

  • The combined DMM and SUED methodology offers a robust solution for moving object detection in UAV aerial images.
  • Focusing on motion-based pixel intensity measurements enhances detection accuracy.
  • This research advances the field of aerial surveillance and object tracking.