Workshop on Anticipating Human Behavior Call for Papers

Title: Workshop on Anticipating Human Behavior
Date: September 8, 2018
Paper deadline: July 6, 2018

Call for papers:

In contrast to humans that are very good in anticipating the behavior
of other objects, animals, or humans, developing methods that
anticipate human behavior from video or other sensor data is very
challenging and has just recently received an increase of interest. In
the past, the features for analyzing, in particular, visual data like
images or videos were too weak such that approaches that predict the
future were unlikely to succeed.

This burden has been overcome due to recent progress in this
field. The anticipation of human behavior, however, is not well
defined in the literature and varies depending on the task in terms of
granularity and time horizon. In the context of driver assistance
systems, the prediction of the trajectory of a pedestrian needs to be
within centimeter accuracy but only for a very short time horizon of
one second.

For tracking applications or motion planning, the potential
destination of a human and trajectories of several seconds or minutes
to reach the destination need to be predicted. In order to prioritize
several tasks for a service robot during a day, only the rough time
and location of an activity is needed. For instance, when the robot
anticipates that the owner wants to cook in one hour, the robot will
be in the kitchen at the right time. The purpose of this workshop is
to discuss recent approaches that anticipate human behavior from video
or other sensor data, to bring together researchers from multiple
fields and perspectives, and to discuss major research problems and
opportunities and how we should coordinate efforts to advance the

The topics of interest for this workshop include, but are not limited to:

    Early activity recognition
    Anticipation of trajectories
    Anticipation of human poses
    Anticipation of activitiesor events
    Anticipation of groupbehavior
    Predicting frames, featuresor semantic in videos or other sensor data
    Predicting use of objects or affordances
    Datasets, evaluation, and benchmarking
    Applications including but not limited to 
robotics, autonomous systems, virtual/augmented reality

Prospective authors will be invited to submit a regular paper of
previously unpublished work (ECCV workshop format) or an extended
abstract of a published or ongoing work via the workshop webpage.

All the submissions will be reviewed by the workshop’s
international program committee.

Accepted regular papers will be presented during the oral or poster
sessions and included in the ECCV workshop proceedings. Accepted
extended abstracts will be presented at the poster session.

Submission 06.07.2018
Notification 31.07.2018
Camera-ready 30.08.2018
Workshop 08.09.2018

Juergen Gall (University of Bonn)
Jan van Gemert (Delft University of Technology)
Kris Kitani (Carnegie Mellon University)