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

Articulated pose identification with sparse point features.

Baihua Li1, Qinggang Meng, Horst Holstein

  • 1Department of Computer Science, University of Wales, Aberystwyth, SY23 3DB, UK. bal@aber.ac.uk

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|October 16, 2004
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

CSVSUF: A Deep Unfolding Framework for Compressive Spectral Video Sensing.

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

A Deep Neural Network Optimization Framework Based on Optimal Transport Bridge Feature Selection and Sparse Representation.

IEEE transactions on neural networks and learning systems·2026
Same author

Sustainable alternative to biochar: Effects of oxychar on soil carbon sequestration pathway and microbial communities.

Journal of environmental sciences (China)·2026
Same author

Silicon regulates microplastic-induced phytotoxicity and its detoxification mechanism: A plant-microbe perspective.

Journal of hazardous materials·2025
Same author

Active Learning for Object Detection With Vectorized Dual Pseudo Loss and Multiple Instance Offset Constraint.

IEEE transactions on cybernetics·2025
Same author

Optimization of a Time-of-Arrival-Ridge Estimation Iterative Model for Ultra-Wideband Positioning in a Long Linear Area.

Sensors (Basel, Switzerland)·2025
Same journal

Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015
Same journal

Meta-Analysis of the First Facial Expression Recognition Challenge.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Adjustable model-based fusion method for multispectral and panchromatic images.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
See all related articles

This study introduces a novel algorithm for identifying articulated poses using sparse point features, enabling self-initializing model-based tracking without prior pose knowledge. It effectively matches model and observed point-sets from complex motions.

Area of Science:

  • Computer Vision and Machine Learning
  • Robotics and Motion Analysis

Background:

  • Model-based tracking of articulated subjects often relies on assumptions like pose similarity or small motions.
  • Establishing initial correspondences between model and observed point-sets is a significant challenge, especially without prior knowledge.

Purpose of the Study:

  • To develop a general algorithm for identifying arbitrary poses of articulated subjects using sparse point features.
  • To enable self-initializing identification in model-based point-feature tracking for articulated motion.

Main Methods:

  • The algorithm establishes a one-to-one correspondence between model and observed point-sets.
  • It integrates local segment-based correspondences under affine transformations with a global hierarchical search strategy.
  • It avoids assumptions of pose similarity or small motions and requires no prior knowledge for initial correspondence.

Related Experiment Videos

Main Results:

  • Experimental results with synthetic and real-world human motion data demonstrate successful pose identification.
  • The algorithm shows tolerance to moderate levels of data noise and segmental distortion.
  • Reliability decreases with increasing noise and distortion but remains functional within moderate ranges.

Conclusions:

  • The proposed algorithm provides a robust solution for self-initializing identification in model-based articulated motion tracking.
  • It overcomes limitations of traditional methods by not requiring initial pose information or restrictive motion assumptions.
  • This work advances the field of articulated motion analysis and tracking.