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Related Concept Videos

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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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...
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Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

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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...
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Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

430
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...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

449
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...
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Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

394
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...
394
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

424
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...
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Related Experiment Video

Updated: Sep 10, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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MeViS: A Multi-Modal Dataset for Referring Motion Expression Video Segmentation.

Henghui Ding, Chang Liu, Shuting He

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |August 19, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces MeViS, a large-scale dataset for motion-based video segmentation. It highlights limitations in current methods and proposes LMPM++ to advance referring video object segmentation (RVOS) and tracking.

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    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Existing video segmentation datasets often overlook motion cues, relying on static attributes.
    • This limits the ability to understand and track objects based on their dynamic actions.

    Purpose of the Study:

    • Introduce MeViS, a novel large-scale multi-modal dataset for referring motion expression video segmentation.
    • Enable research into motion-guided video understanding and pixel-level analysis using language descriptions of object motion.

    Main Methods:

    • Developed MeViS dataset with 33,072 annotated motion expressions (text/audio) across 2,006 videos.
    • Benchmarked 15 existing methods on tasks including referring video object segmentation (RVOS), audio-guided video object segmentation (AVOS), and referring multi-object tracking (RMOT).
    • Proposed LMPM++ approach to address limitations in motion-guided video understanding.

    Main Results:

    • Identified significant weaknesses in current methods for motion expression-guided video understanding.
    • LMPM++ achieved new state-of-the-art results on RVOS, AVOS, and RMOT tasks.
    • The MeViS dataset facilitates advancements in complex video scene analysis.

    Conclusions:

    • Motion expressions are crucial for robust video segmentation and tracking.
    • The MeViS dataset and LMPM++ provide a foundation for future research in this domain.
    • Further development is needed to fully leverage motion cues in video understanding.