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
field.
The workshop will be located in the lecture hall HS2 of the Hörsaalzentrum Campus Poppelsdorf, University of Bonn, Endenicher Allee 19c, 53115 Bonn.
The workshop will be located in the lecture hall HS2 of the Hörsaalzentrum Campus Poppelsdorf, University of Bonn, Endenicher Allee 19c, 53115 Bonn (Map). Entrance to the workshop is free, but a registration until 20.8.2019 is required. For registration, please fill the form:
Registration.
Speakers
Zeynep Akata is an assistant professor with the University of Amsterdam, Scientific Manager of the Delta Lab and a Senior Researcher at the Max Planck Institute for Informatics in Germany. Her research interests include machine learning that combine vision and language for the task of explainable artificial intelligence (XAI).
Michael Beetz is a professor for Computer Science at the University Bremen and head of the Institute for Artificial Intelligence (IAI). IAI investigates AI-based control methods for robotic agents, with a focus on human-scale everyday manipulation tasks. With his openEASE, a web-based knowledge service providing robot and human activity data, Michael Beetz aims at improving interoperability in robotics and lowering the barriers for robot programming.
Sven Behnke is professor for Autonomous Intelligent Systems at the University of Bonn and director of the Institute of Computer Science VI. His research interests include cognitive robotics, computer vision, and machine learning.
Maren Bennewitz is professor for Computer Science at the University of Bonn and head of the Humanoid Robots Laboratory. The focus of her research lies on robots acting in human environments. Her group develops techniques that allow robots to adapt their behavior to the environment and to the surrounding people thereby exploiting semantic information about objects and information about the activities of users.
Anne Driemel is professor for Theoretical Computer Science at the University of Bonn and HCM Bonn Junior Fellow. Her research interests include discrete and computational geometry, algorithms and data structures, and trajectory and time series analysis.
Juergen Gall is professor and head of the Computer Vision Group at the University of Bonn. He is spokesperson of the DFG research unit FOR 2535 - Anticipating Human Behavior and his research interests include human pose estimation, video analysis, and forecasting.
Jan van Gemert is an assistant professor and head of the Computer Vision Lab at the Technical University Delft. His research interests include image analysis, visual encodings, image and video categorization, action and object recognition and localization.
Reinhard Klein is professor for Computer Graphics and director of the Institute of Computer Science II at the University of Bonn. The group covers topics in geometry processing, scientific and geospatial visualization, photo-realistic rendering and physics based animation.
Norimasa Kobori is senior manager of the Robotics Group at Toyota Motor Europe.
His team is developing the computer vision technology for service and humanoid robots.
His research interests include 6D Object Detection, SLAM, and Activity Recognition.
Matthias Nießner is professor and head of the Visual Computing Lab at TU Munich.
His research is oriented towards the generation of 3D models of real-world environments using video and range cameras.
Andreas Weber is professor for Practical Computer Science and head of the Multimedia, Simulation and Virtual Reality Group at the University of Bonn. His research interests include physics based modelling and animation.
Programm
9:00-9:15Welcome9:15-10:15TalksAnticipating Human Motion, Activities, and Semantic Scene GeometryJuergen GallReal-time Appearance Acquisition, Transmission and Visualization for AnticipationReinhard Klein10:15-10:45Coffee10:45-12:15TalksWhere is the Action?Jan van GemertHuman Motion Prediction Based on Object InteractionsMaren BennewitzAI-Driven Videos Synthesis and its ImplicationsMatthias Nießner12:15-13:15Lunch13:15-14:45TalksAutomated Models of Human Everyday Activity based on Machine-understandable Virtual Reality TechnologyMichael BeetzRepresentation Learning and Activity Prediction from VideoSven BehnkeHuman Centric Computer Vision for RoboticsNorimasa Kobori14:45-15:15Coffee15:15-16:45TalksExplaining and Representing Novel Concepts With Minimal SupervisionZeynep AkataRepresenting Human Motions by Linear Dynamical SystemsAndreas WeberClustering Curves under the Fréchet distanceAnne Driemel16:45-17:00Closing Remarks
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