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Section: New Software and Platforms
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py action detection
Functional Description
Action Detection framework Allows user to detect action in video stream. It uses model trained in py_ar.
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Introduction
- Exploring Depth Information for Head Detection with Depth Images
- Modeling Spatial Layout of Features for Real World Scenario RGB-D Action Recognition
- Multi-Object Tracking of Pedestrian Driven by Context
- Pedestrian detection: Training set optimization
- Pedestrian Detection on Crossroads
- Automated Healthcare: Facial-expression-analysis for Alzheimer's patients in Musical Mnemotherapy
- Hybrid Approaches for Gender Estimation
- Unsupervised Metric Learning for Multi-shot Person Re-identification
- Semi-supervised Understanding of Complex Activities in Large-scale Datasets
- On the Study of the Visual Behavioral Roots of Alzheimer's disease
- Uncertainty Modeling with Ontological Models and Probabilistic Logic Programming
- A Hybrid Framework for Online Recognition of Activities of Daily Living In Real-World Settings
- Praxis and Gesture Recognition
- Scenario Recognition
- The Clem Workflow
- Safe Composition in Middleware for Internet of Things
- Verification of Temporal Properties of Neuronal Archetypes
- Dynamic Reconfiguration of Feature Models
- Setup and management of SafEE devices
- Brick & Mortar Cookies
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Introduction
- Exploring Depth Information for Head Detection with Depth Images
- Modeling Spatial Layout of Features for Real World Scenario RGB-D Action Recognition
- Multi-Object Tracking of Pedestrian Driven by Context
- Pedestrian detection: Training set optimization
- Pedestrian Detection on Crossroads
- Automated Healthcare: Facial-expression-analysis for Alzheimer's patients in Musical Mnemotherapy
- Hybrid Approaches for Gender Estimation
- Unsupervised Metric Learning for Multi-shot Person Re-identification
- Semi-supervised Understanding of Complex Activities in Large-scale Datasets
- On the Study of the Visual Behavioral Roots of Alzheimer's disease
- Uncertainty Modeling with Ontological Models and Probabilistic Logic Programming
- A Hybrid Framework for Online Recognition of Activities of Daily Living In Real-World Settings
- Praxis and Gesture Recognition
- Scenario Recognition
- The Clem Workflow
- Safe Composition in Middleware for Internet of Things
- Verification of Temporal Properties of Neuronal Archetypes
- Dynamic Reconfiguration of Feature Models
- Setup and management of SafEE devices
- Brick & Mortar Cookies
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography