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

Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

439
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...
439
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

539
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...
539
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

451
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...
451
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

404
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...
404
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

432
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...
432
Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

8.2K
Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
8.2K

You might also read

Related Articles

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

Sort by
Same author

Permeation of particle through a four-helix-bundle model channel.

The Journal of chemical physics·2005
Same author

Immunogenicity, safety, and protective efficacy of an inactivated SARS-associated coronavirus vaccine in rhesus monkeys.

Vaccine·2005
Same author

Phase III study of the Eastern Cooperative Oncology Group (ECOG 2597): induction chemotherapy followed by either standard thoracic radiotherapy or hyperfractionated accelerated radiotherapy for patients with unresectable stage IIIA and B non-small-cell lung cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2005
Same author

Towards automatic clustering of protein sequences.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005
Same author

Accelerating approximate subsequence search on large protein sequence databases.

Proceedings. IEEE Computer Society Bioinformatics Conference·2005
Same author

Novel mutation (V505D) of the TGFBI gene found in a Chinese family with lattice corneal dystrophy, type I.

Japanese journal of ophthalmology·2005
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 16, 2025

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis
05:51

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis

Published on: October 12, 2011

11.2K

A Method for Real-Time Vessel Speed Measurement Based on M-YOLOv11 and Visual Tracking.

Zhe Ma1, Qinyou Hu1, Yuezhao Wu1

  • 1College of Merchant Marine, Shanghai Maritime University, Shanghai 201306, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for real-time vessel speed detection using target tracking and an M-YOLOv11 model, overcoming limitations of Automatic Identification System (AIS) data. The approach significantly improves accuracy, with most errors below 0.5 knots.

Keywords:
machine visualizationtarget detectionvessel speedvisual tracking

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
05:57

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

6.9K
Behavioral Tracking and Neuromast Imaging of Mexican Cavefish
14:58

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

Published on: April 6, 2019

7.9K

Related Experiment Videos

Last Updated: Sep 16, 2025

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis
05:51

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis

Published on: October 12, 2011

11.2K
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

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

6.9K
Behavioral Tracking and Neuromast Imaging of Mexican Cavefish
14:58

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish

Published on: April 6, 2019

7.9K

Area of Science:

  • Maritime technology
  • Computer vision
  • Data analytics

Background:

  • Automatic Identification System (AIS) data is crucial for vessel monitoring but prone to inaccuracies due to device failure or signal issues.
  • Existing methods struggle with real-time vessel speed detection under challenging conditions.

Purpose of the Study:

  • To develop a robust, real-time vessel speed detection method independent of AIS data limitations.
  • To enhance the accuracy and reliability of vessel speed measurements in maritime surveillance.

Main Methods:

  • A novel approach combining target detection and tracking for real-time vessel speed acquisition.
  • Establishing a coordinate mapping for accurate pixel-to-physical velocity conversion.
  • Utilizing a frame difference method with multi-frame averaging for speed calculation.
  • Employing an advanced M-YOLOv11 detection model for improved performance in diverse environments.

Main Results:

  • The M-YOLOv11 model achieved a 13.95% improvement in average precision compared to the baseline.
  • Over 60% of vessel speed measurements had errors less than 0.5 knots.
  • The overall average speed measurement error was below 0.45 knots.

Conclusions:

  • The proposed method effectively overcomes AIS data limitations for accurate real-time vessel speed detection.
  • The M-YOLOv11 model demonstrates superior performance in identifying vessels across various shapes and complex scenarios.
  • This technique offers a reliable and accurate solution for practical maritime monitoring applications.