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

Recognizing multiple overlapping objects in image: an optimal formulation.

S Z Li

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 8, 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

    [Application value of ocular multimodal imaging methods in the evaluation of increased intracranial pressure].

    [Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2026
    Same author

    [Survey on mosquito species diversity and pathogen spectrum of arbovirus in tropical regions of China].

    Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
    Same author

    Unlocking bioenergy potential in heavy metal polluted soils: synergistic advanced solid-state fermentation and combustion for valorization of sweet sorghum.

    BMC plant biology·2025
    Same author

    Exchange bias effect in polycrystalline Bi<sub>0.5</sub>Sr<sub>0.5</sub>Fe<sub>0.5</sub>Cr<sub>0.5</sub>O<sub>3</sub> bulk.

    Scientific reports·2023
    Same author

    [Analysis of the efficacy of azacitidine combined with homoharringtonine and cytarabine in induction and salvage therapy of acute myeloid leukemia].

    Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2023
    Same author

    [Schistosomiasis control in China from 2012 to 2021: progress and challenges].

    Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control·2023
    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 statistically optimal method for identifying multiple, partially hidden objects using the maximum a posteriori (MAP) principle. The approach considers all objects simultaneously for improved accuracy in object recognition tasks.

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Statistical Modeling

    Background:

    • Object recognition is a fundamental challenge in computer vision, particularly with partial occlusion.
    • Existing methods often focus on individual object models, limiting performance in complex scenes.

    Discussion:

    • This work presents a statistically optimal formulation for multi-object recognition under partial occlusion.
    • The optimality is based on the maximum a posteriori (MAP) principle, considering all objects jointly.
    • Incorporation of various constraints into the posterior distribution enhances robustness.

    Key Insights:

    • A novel two-stage MAP estimation approach is proposed to significantly reduce computational complexity.
    • The formulation achieves optimality with respect to the entire set of modeled objects.

    Related Experiment Videos

  • This method offers a more accurate and efficient solution for recognizing occluded objects.

    • Outlook:

    • Future research could explore real-time applications of this optimal formulation.
    • Further investigation into different types of constraints and their impact on performance is warranted.
    • This approach has potential applications in robotics, autonomous driving, and surveillance systems.