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

An adaptive regularized recursive displacement estimation algorithm.

S N Efstratiadis1, A K Katsaggelos

  • 1Dept. of Electr. Eng. and Comput. Sci., Northwestern Univ., Evanston, IL.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1993
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

Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing.

AJNR. American journal of neuroradiology·2022
Same author

Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science.

Classical and quantum gravity·2018
Same author

Drosophila Eye Nuclei Segmentation Based on Graph Cut and Convex Shape Prior.

International conference on signal processing proceedings. International Conference on Signal Processing·2014
Same author

An optimal quadtree-based motion estimation and motion-compensated interpolation scheme for video compression.

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

Hybrid image segmentation using watersheds and fast region merging.

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

An optimal polygonal boundary encoding scheme in the rate distortion sense.

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

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

This study introduces an adaptive regularized recursive algorithm for estimating displacement vector fields (DVF). The novel method enhances accuracy and robustness in video processing, particularly for videoconferencing applications.

Area of Science:

  • Computer Vision
  • Image Processing
  • Signal Processing

Background:

  • Displacement estimation is crucial for video analysis.
  • Existing recursive algorithms have limitations in accuracy and robustness.

Purpose of the Study:

  • To develop an adaptive regularized recursive algorithm for displacement vector field (DVF) estimation.
  • To improve accuracy, robustness to occlusion, and smoothness of estimated DVF.

Main Methods:

  • Minimizing linearized displaced frame difference (DFD) using subsets of points (submasks).
  • Employing a set theoretic regularization approach incorporating noise and solution information.
  • Utilizing a causal oriented smoothness constraint (OSC) for adaptive prediction.

Related Experiment Videos

Main Results:

  • Derived an expression for the variance of linearization error.
  • Demonstrated that existing algorithms are special cases of the proposed method.
  • Achieved improved accuracy, robustness to occlusion, and smoothness in experiments.

Conclusions:

  • The proposed adaptive regularized recursive algorithm offers superior performance for DVF estimation.
  • The method is particularly effective for real-time applications like videoconferencing.
  • The algorithm provides a robust and accurate solution for complex motion estimation.