Call for Papers --------------- ISM 2022 - THE FIRST IN-VEHICLE SENSING AND MONITORIZATION WORKSHOP
to be held in conjunction with ECCV 2022 - European Conference on Computer Vision 2022 Tel Aviv (Israel), October 23-24, 2022
 Links ----- Workshop: https://ism.inesctec.pt/ ECCV 2022: https://eccv2022.ecva.net/
 Important Dates ----------------- Submission date: July 7th, 2022 Notification date: August 1st, 2022 Camera ready: August 8th, 2022
 Workshop Motivation and Topics ----------------------------------- Driver assistance and autonomous driving technologies have made significant progress over the past decade. Much of the research has been devoted to monitoring the external environment, while not nearly as much attention has been paid to the interior.
Interior monitoring increases safety, comfort, and convenience for all vehicle occupants, especially in the case of autonomous shared vehicles.
The In-vehicle Sensing and Monitorization workshop at ECCV 2022 targets the processing of data collected inside the vehicle for monitoring and event detection. It covers topics such as activity detection, emotional monitoring, identification of undesired behavior, damage detection, and many others related to the automatic supervision of the interior of shared vehicles and its occupants.
We invite contributions that address themes related to In-Vehicle Sensing and Monitoring.
Topics include but are not limited to:  * 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, synthetic 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.
 Paper Submission ------------------ The workshop welcomes submissions of full papers, as well as short papers reporting new, unpublished, original research. Full papers should not exceed 14 pages and be formatted using ECCV guidelines. Short papers should not exceed 8 pages.
Papers must contain no information identifying the author(s) or their organization(s) and should be submitted electronically via the workshop�s CMT Website: https://www.easychair.org/conferences/?conf=ism2022
 Review Process ---------------- Papers will be reviewed in a double-blind procedure by the international program committee. Papers will be judged on their relevance, novelty, scientific contribution, technical content, and clarity of presentation.
Publication ----------- Accepted papers will be published in the conference proceedings.
 Workshop Chairs ------------------ Jaime S. Cardoso, University of Porto and INESC TEC, Portugal Pedro M. Carvalho, INESC TEC and Polytechnic of Porto, Portugal Joao R. Pinto, Bosch Car Multimedia and University of Porto, Portugal Paula Viana, Polytechnic of Porto and INESC TEC, Portugal Christer Ahlstrom, VTI, Sweden Carolina Pinto, Bosch Car Multimedia, Portugal