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.

• Pedestrian detection: Training set optimization (see 7.2)

• Pedestrian Detection Using Deep Learning (see 7.3)

• Deep Learning applied on Embedded Systems for people detection (see 7.4)

• Facial Analysis (see 7.5)

• Multi-Object Tracking using Multi-Channel Part Appearance Representation (see 7.6)

• Tracklets Pre-Processing for Signature Computation in the Context of Multi-Shot Person Re-Identification (see 7.7)

• Multi-shot Person Re-identification in surveillance videos (see 7.8)

• Person Re-Identification using Pose-Driven Body Parts (see 7.9)

• Human Action Recognition in Videos with Local Representation (see 7.10)

• Action Detection in Untrimmed Videos (see 7.11)

• RGB-D based Action Recognition using CNNsf (see 7.12)

• Recognizing Human Actions Using RGB Sport Videos From the Web (see 7.13)

• Event Recognition Based on Depth Image (see 7.14)

• Recognition of Daily Activities by Embedding Visual Features within a Semantic Language (see 7.15)

• Cognitive Assessment Using Gesture Recognition (see 7.16)

• Geometric and Visual Features Fusion for Action Recognition (see 7.17)

• Probabilistic Logic for Activity Recognition (see 7.18)

• Recognizing Retracing of Steps Using Walk Comparison (see 7.19)

• Safe & Easy Environment for Alzheimer Disease and related disorders (see 7.20)

• Early detection of cognitive disorders such as dementia on the basis of speech analysis ELEMENT (see 7.21)

• Serious Exergames for Cognitive Stimulation (see 7.22)

• Defining an activity description language for end-users and its semantics (see 7.23)

• The Clem Workflow (see 7.24)

• Study of Temporal Properties of Neuronal Archetypes (see 7.25)

• Maintaining the engagement of older adults with dementia while interacting with serious game(see 7.26)

• Application of deep learning on healthcare (see 7.27)

• Brick & Mortar Cookies (see 7.28)