ISM 2022 - The First In-Vehicle Sensing And Monitorization Workshop Call for Papers

Call for Papers
to be held in conjunction with
ECCV 2022 - European Conference on Computer Vision 2022
Tel Aviv (Israel), October 23-24, 2022

ECCV 2022:
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

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
 * 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papers reporting new, unpublished, original research.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:
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.
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
João R. Pinto, Bosch Car Multimedia and University of Porto, Portugal
Paula Viana, Polytechnic of Porto and INESC TEC, Portugal
Christer Ahlström, VTI, Sweden
Carolina Pinto, Bosch Car Multimedia, Portugal