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

Quasi-periodic spatiotemporal filtering.

Gertjan J Burghouts1, Jan-Mark Geusebroek

  • 1Intelligent Systems Lab of Amsterdam, Department of Computer Science, Faculty of Science, University of Amsterdam, The Netherlands. burghout@science.uva.nl

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 13, 2006
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

A proto-object-based computational model for visual saliency.

Journal of vision·2013
Same author

An Image Statistics-Based Model for Fixation Prediction.

Cognitive computation·2011
Same author

Stages as models of scene geometry.

IEEE transactions on pattern analysis and machine intelligence·2010
Same author

Visual word ambiguity.

IEEE transactions on pattern analysis and machine intelligence·2010
Same author

Fast anisotropic Gauss filtering.

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

The semantic pathfinder: using an authoring metaphor for generic multimedia indexing.

IEEE transactions on pattern analysis and machine intelligence·2006
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 online temporal frequency filter for detecting and identifying object motion. The novel filter enhances object recognition using color and spatial context, offering faster and more selective performance than traditional methods.

Area of Science:

  • Computer Vision
  • Signal Processing
  • Object Recognition

Background:

  • Object motion analysis is crucial for various applications.
  • Traditional methods struggle with real-time detection and identification of quasiperiodic motion.
  • Challenges include appearance changes and complex motion patterns.

Purpose of the Study:

  • To develop an online estimation method for temporal frequency.
  • To simultaneously detect and identify quasiperiodic object motion.
  • To enhance robustness using color and spatial contextual information.

Main Methods:

  • Combined spatiospectral Gaussian filters and a temporal reparameterized Gabor filter.
  • Developed an online temporal frequency filter.
  • Incorporated color and multi-scale spatial information.

Related Experiment Videos

Main Results:

  • The online filter demonstrated faster response and decay times compared to offline Gabor filters.
  • The online filter exhibited higher selectivity for tuned frequencies.
  • Successfully detected and identified periodicity in natural color video motion.
  • Determined the velocity of moving gratings in a real-world scenario.

Conclusions:

  • The developed online temporal frequency filter effectively detects and identifies quasiperiodic motion.
  • The method provides robustness against illumination changes and enhances discriminative power.
  • Offers a significant advancement in temporal frequency analysis for both detection and identification.