Topics

This year's HBU workshop, in addition to covering the main themes of human behavior understanding, specifically deals with two topics: face analytics and behavior analysis for smart cars. The workshop is organized as a full day event with a single track, and features two sessions on these topics.

This workshop will solicit human behavior analysis solutions that clearly advance the field, and also to propose novel application scenarios, including those suitable for fully autonomous driving systems. The covered topics may span items from each of the following topic dimensions, as well as target a focus theme challenge:

Human Behavior Analysis Systems

Action and activity recognition
Affect analysis
Face analysis
Gaze, attention and saliency
Gestures and haptic interaction
Learning and adaptation
Social signal processing
Voice and speech analysis

Theory and Methodology of Human Behavior

Theoretical frameworks of behavior analysis
Data collection, annotation, and benchmarking
Interaction design
Theoretical frameworks of behavior analysis
User studies and human factors

Session 1: Face analytics

Automatic deception detection
Deep learning models for facial analysis
Face alignment and fiducial point detection
Continuous and dynamic facial behavior analysis
Emotion recognition in the wild
Temporal models for face analysis
Facial action unit detection and recognition
Group emotion analysis
Long-term behaviors and interaction
Micro-expression detection, recognition and understanding
Spontaneous affect databases: collection and annotation
Cross-domain facial expression recognition
Spontaneous facial expression analysis
Multimodal emotion recognition

Session 2: Behavior analysis for smart car systems

Advanced driver assistance systems
Assisting elderly drivers
Behavior analysis for car safety
Car driving simulation analysis
Driver identification and biometrics
Driver's face monitoring, drowsiness and fatigue detection
Head pose and attention tracking
Human factors and driver personalization
Human-car interaction
In-car social signals: aggression, frustration, boredom
Multimodal interactive systems in cars
New driving and car related databases
Posture assessment and comfort analysis