ISM aims to cover everything related to intelligent sensing and monitoring inside vehicles, whether centred on the drivers, the passengers, objects, interior environmental conditions, or other scenarios. These include:

• Detection and prediction of degraded driver state, including inattention, fatigue, cognitive load, intoxication, and sudden illness;
• Driver activity recognition, including mobile phone use, eating, applying makeup/grooming, and interacting with passengers;
• Situation-dependent and personalized driver state detection and activity recognition;
• Driver/occupant intention prediction;
• Activity recognition and emotional monitoring;
• Identification of undesired behaviors and damage detection;
• Image segmentation for passenger detection;
• Driver and passenger biometrics;
• Body gestures and pose estimation;
• Human activity recording, simulation, and generation (i.e., database acquisition, synthethic data) for vehicle interior scenarios;
• Efficient training and inference methods;
• Motion and tracking for driver and passengers;
• Transfer learning;
• Video analysis and understanding of vehicle interior scenes;
• Computer vision + other modalities for vehicle interior analysis.

ISM will be a full-day online event at ECCV 2022 (October 24-28). More information will be released soon.