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 Experiment Videos

Probabilistic and sequential computation of optical flow using temporal coherence.

T M Chin1, W C Karl, A S Willsky

  • 1Rosenstiel Sch. of Marine and Atmos. Sci., Miami Univ., FL.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Phase I and biomarker study of OPB-51602, a novel signal transducer and activator of transcription (STAT) 3 inhibitor, in patients with refractory solid malignancies.

Annals of oncology : official journal of the European Society for Medical Oncology·2015
Same author

The positive impact of cytological specimens for EGFR mutation testing in non-small cell lung cancer: a single South East Asian laboratory's analysis of 670 cases.

Cytopathology : official journal of the British Society for Clinical Cytology·2012
Same author

A multiscale hypothesis testing approach to anomaly detection and localization from noisy tomographic data.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Image segmentation and edge enhancement with stabilized inverse diffusion equations.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Multiscale methods for the segmentation and reconstruction of signals and images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

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

This study introduces a multiframe optical flow estimation method using temporal coherence, improving robustness against noise and resolving motion vision challenges. The approach offers a computationally efficient, near-optimal Kalman filter approximation for dense optical flow computation.

Area of Science:

  • Computer Vision
  • Image Processing
  • Robotics

Background:

  • Dense optical flow estimation is crucial for understanding motion in image sequences.
  • Traditional methods often rely on spatial coherence constraints, which can be insufficient.
  • Ill-posed nature of optical flow necessitates regularization techniques.

Purpose of the Study:

  • To present a temporal, multiframe extension of the Horn-Schunck optical flow formulation.
  • To improve the robustness and accuracy of dense optical flow estimation using temporal data integration.
  • To address limitations of single-frame methods, particularly the aperture problem.

Main Methods:

  • Extension of Horn-Schunck formulation with a temporal coherence constraint.
  • Application of Kalman filtering for sequential and recursive multiframe optical flow estimation.

Related Experiment Videos

  • Development of a computationally efficient, near-optimal Kalman filter approximation for large-scale problems.

    • Main Results:

    • Multiframe estimates demonstrate enhanced robustness to noise compared to single-frame methods.
    • Temporal integration effectively resolves motion vision ambiguities, such as the aperture problem.
    • The proposed near-optimal filter approximation is computationally efficient and effective.

    Conclusions:

    • Temporal coherence constraints significantly enhance dense optical flow estimation accuracy and robustness.
    • The Kalman filtering approach provides a sequential and recursive solution for multiframe optical flow.
    • The efficient approximation enables practical implementation of advanced filtering techniques for motion analysis.