Publication

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

Publications associées (33)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture

Graph Chatbot

Chattez avec Graph Search

Spatio-temporal human pose detection

Combination of video-based camera trackers using a dynamically adapted particle filter

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

Particle filter-based camera tracker fusing marker- and feature point-based cues

Bayesian methods for visual multi-object tracking with applications to human activity recognition

Bayesian methods for visual multi-object tracking with applications to human activity recognition

Motion models for robust 3D human body tracking

Motion tracking for human-robot interaction

Capturing human motion using body-fixed sensors: Outdoor measurement and clinical applications

Using skeleton-based tracking to increase the reliability of optical motion capture

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

Combination of video-based camera trackers using a dynamically adapted particle filter

Motion models for robust 3D human body tracking

Particle filter-based camera tracker fusing marker- and feature point-based cues

Motion tracking for human-robot interaction

Bayesian methods for visual multi-object tracking with applications to human activity recognition

Spatio-temporal human pose detection

Bayesian methods for visual multi-object tracking with applications to human activity recognition

Using skeleton-based tracking to increase the reliability of optical motion capture

Capturing human motion using body-fixed sensors: Outdoor measurement and clinical applications