Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Apr 21, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

Multitask linear discriminant analysis for view invariant action recognition.

Yan Yan, Elisa Ricci, Ramanathan Subramanian

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|November 1, 2014

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

Genomic epidemiology reveals the origins and transmission dynamics of chikungunya virus in China.

Infectious diseases of poverty·2026

Same author

Shifting dengue virus imports into Yunnan, China, 2017-2019: epidemic lineages sparking local outbreaks.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026

Same author

A rapid multiplex platform for simultaneous detection of chikungunya virus, dengue virus, and dengue serotyping based on isothermal amplification and lateral flow dipsticks.

Infectious diseases of poverty·2026

Same author

OmniCharacter++: Towards Comprehensive Benchmark for Realistic Role-Playing Agents.

IEEE transactions on pattern analysis and machine intelligence·2026

Same author

Sharpness-Aware Fine-Tuning for OOD Detection.

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

Same author

Maternal Chikungunya virus infection and pregnancy outcomes: a global systematic review and meta-analysis of vertical transmission dynamics and associated morbidity.

Emerging microbes & infections·2026

Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

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

Same journal

GoP-based Quality Enhancement on Video Compression.

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

Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

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

See all related articles

This study introduces multitask linear discriminant analysis (LDA) for robust multiview action recognition. The proposed graph-guided multitask LDA enhances self-similarity matrix (SSM) features for improved performance across different viewpoints.

Area of Science:

Computer Vision
Machine Learning
Pattern Recognition

Background:

Robust action recognition across varying viewpoints is a significant challenge in computer vision.
Self-similarity matrices (SSMs) are effective view-invariant descriptors for actions.
Existing SSM-based methods can be further enhanced for improved performance.

Purpose of the Study:

To propose a novel multitask learning framework, multitask linear discriminant analysis (LDA), for multiview action recognition.
To enable the sharing of discriminative SSM features across different views (tasks) within the framework.
To improve the robustness and accuracy of action recognition under viewpoint changes.

Main Methods:

Developed a multitask LDA framework that leverages the connection between multivariate linear regression and LDA.

Related Experiment Videos

Last Updated: Apr 21, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

Modeled multitask multiclass LDA as a single optimization problem using an appropriate class indicator matrix.

Introduced two variants of graph-guided multitask LDA: one with fixed graph weights and another with learned graph weights.

Main Results:

The proposed multitask LDA methods effectively share discriminative SSM features among different views.
Experimental results on RGB and RGBD datasets demonstrate superior performance compared to state-of-the-art methods.
The graph-guided approaches show significant improvements in multiview action recognition accuracy.

Conclusions:

The proposed graph-guided multitask LDA framework offers a powerful approach for enhancing SSM-based action recognition.
The methods provide robust performance under viewpoint variations, outperforming existing techniques.
This work advances the field of multiview action recognition by enabling effective feature sharing across tasks.