Section: New Results

Introduction

This year Stars has proposed new results related to its three main research axes : perception for activity recognition, semantic activity recognition and software engineering for activity recognition.

• Late Fusion of multiple convolutional layers for pedestrian detection (see 7.2)

• Deep Learning applied on Embedded Systems for People Tracking (see 7.3)

• Cross Domain Residual Transfer Learning for Person Re-identification (see 7.4)

• Face-based Attribute Classification (see 7.5)

• Face Attribute manipulation

• From attribute-labels to faces: face generation using a conditional generative adversarial network (see 7.6)

• Face analysis in structured light images (see 7.7)

• Deep-Temporal LSTM for Daily Living Action Recognition (see 7.8)

• A New Hybrid Architecture for Human Activity Recognition from RGB-D videos (see 7.10)

• Where to focus on for Human Action Recognition? (see 7.11)

• Online temporal detection of daily-living human activities in long untrimmed video streams (see 7.12)

• Activity Detection in Long-term Untrimmed Videos (see 7.13)

• Video based face analysis for health monitoring (see 7.14)

• Mobile biometrics (see 7.15)

• Comparing methods for assessment of facial dynamics in patients with major neurocognitive disorders (see 7.16)

• Combating the issue of low sample size in facial expression recognition (see 7.17)

• Serious exergames for Cognitive Stimulation (see 7.18)

• Fully Automatic Speech-Based Analysis of the Semantic Verbal Fluency Task (see 7.19)

• Language Modelling in the Clinical Semantic Verbal Fluency Task (see 7.19.2)

• Telephone-based Dementia Screening I: Automated Semantic Verbal Fluency Assessment (see 7.19.3)

• Automatic Detection of Apathy using Acoustic Markers extracted from Free Emotional Speech and using Automatic Speech Analysis (see 7.19.4)

• Monitoring the Behaviors of Retail Customers (see 7.20)

• A Synchronous Approach to Activity Recognition (see 7.21)

• A Probabilistic Activity Description Language (see 7.22)