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

Motion segmentation and depth ordering using an occlusion detector.

Doron Feldman1, Daphna Weinshall

  • 1School of Computer Science and Engineering, Hebrew University of Jerusalem, Jerusalem, Israel. doronf@cs.huji.ac.il

IEEE Transactions on Pattern Analysis and Machine Intelligence
|June 14, 2008
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

Forget Me Not: Fighting Local Overfitting With Knowledge Fusion and Distillation.

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

Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models.

Journal of geophysical research. Oceans·2020
Same author

Tracking tidal volume noninvasively in volunteers using a tightly controlled temperature-based device: A proof of concept paper.

The clinical respiratory journal·2019
Same author

Potential upside of high initial visual acuity?

Proceedings of the National Academy of Sciences of the United States of America·2019
Same author

Differentiating facial incongruity and flatness in schizophrenia, using structured light camera data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

Linshom respiratory monitoring device: a novel temperature-based respiratory monitor.

Canadian journal of anaesthesia = Journal canadien d'anesthesie·2016
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

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

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

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

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

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

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

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

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

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

Achieving Text-based Person Retrieval with Any Granularity.

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

This study introduces a new method for motion segmentation and depth ordering in videos. The algorithm can determine depth from just two frames, even with noise or unclear boundaries.

Area of Science:

  • Computer Vision
  • Image Processing
  • Robotics

Background:

  • Accurate motion segmentation and depth ordering are crucial for understanding dynamic scenes.
  • Existing methods often struggle with general motion, noise, and illumination changes.

Purpose of the Study:

  • To develop a novel method for motion segmentation and depth ordering from video sequences.
  • To enable depth ordering using only two frames, a significant advancement.

Main Methods:

  • Motion segmentation using differential properties and scale-space integration.
  • Two algorithms for depth ordering from two- and three-frame sequences.
  • Evaluation on real and synthetic video data with varying conditions.

Main Results:

Related Experiment Videos

  • Successful motion segmentation and depth ordering on real-world sequences with general motion.
  • Demonstrated robustness to high noise levels and illumination changes.
  • Achieved depth ordering from only two frames, outperforming previous limitations.

Conclusions:

  • The proposed method effectively performs motion segmentation and depth ordering in complex scenarios.
  • The ability to infer depth from minimal frames has significant implications for real-time applications.
  • Human perception aligns with the algorithm's capability to determine depth from limited visual information.