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

644
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...
644
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 using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

805
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...
805

You might also read

Related Articles

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

Sort by
Same author

Two Projections Suffice for Cerebral Vascular Reconstruction.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2025
Same author

Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT.

Communications medicine·2025
Same author

<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision.

Biomedizinische Technik. Biomedical engineering·2024
Same author

Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields.

Medical image analysis·2024
Same author

Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.

Nature methods·2024
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

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

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

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

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

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

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

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

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

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

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Mar 8, 2026

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.8K

Detecting Flying Objects Using a Single Moving Camera.

Artem Rozantsev, Vincent Lepetit, Pascal Fua

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |January 24, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method for detecting small flying objects like Unmanned Aerial Vehicles (UAVs) and aircraft, even with camera movement and complex backgrounds. The approach combines appearance and motion cues for improved detection accuracy.

    More Related Videos

    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
    06:19

    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

    Published on: December 29, 2021

    3.2K
    A Wind Tunnel for Odor Mediated Insect Behavioural Assays
    05:25

    A Wind Tunnel for Odor Mediated Insect Behavioural Assays

    Published on: November 30, 2018

    12.6K

    Related Experiment Videos

    Last Updated: Mar 8, 2026

    Flying Insect Detection and Classification with Inexpensive Sensors
    05:16

    Flying Insect Detection and Classification with Inexpensive Sensors

    Published on: October 15, 2014

    25.8K
    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
    06:19

    Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

    Published on: December 29, 2021

    3.2K
    A Wind Tunnel for Odor Mediated Insect Behavioural Assays
    05:25

    A Wind Tunnel for Odor Mediated Insect Behavioural Assays

    Published on: November 30, 2018

    12.6K

    Area of Science:

    • Computer Vision
    • Aerospace Engineering
    • Robotics

    Background:

    • Detecting small, fast-moving aerial objects against complex backgrounds is challenging.
    • Existing methods struggle with camera motion and limited object visibility.

    Purpose of the Study:

    • To develop a robust method for detecting small flying objects (UAVs, aircraft) under challenging conditions.
    • To improve upon state-of-the-art techniques in aerial object detection.

    Main Methods:

    • Proposed a regression-based approach for object-centric motion stabilization of image patches.
    • Utilized a combination of appearance and motion cues for detection.
    • Developed spatio-temporal image cubes for analysis.

    Main Results:

    • Achieved effective classification on spatio-temporal image cubes.
    • Outperformed existing state-of-the-art detection techniques.
    • Created and validated new datasets for UAV and aircraft detection.

    Conclusions:

    • The proposed method effectively detects small flying objects in complex scenarios.
    • The new datasets will facilitate future research in flying object detection and collision avoidance.