Anticipating Human Behavior

Bonn, Germany, 2nd September 2019

About

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 is organized as part of the DFG funded research unit FOR 2535 - Anticipating Human Behavior and a previous workshop was held in Munich 2018.

Dates

Registration 20.08.2019 Workshop 02.09.2019

Registration

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

9:00-9:15 Welcome 9:15-10:15 Talks Anticipating Human Motion, Activities, and Semantic Scene Geometry Juergen Gall Real-time Appearance Acquisition, Transmission and Visualization for Anticipation Reinhard Klein 10:15-10:45 Coffee 10:45-12:15 Talks Where is the Action? Jan van Gemert Human Motion Prediction Based on Object Interactions Maren Bennewitz AI-Driven Videos Synthesis and its Implications Matthias Nießner 12:15-13:15 Lunch 13:15-14:45 Talks Automated Models of Human Everyday Activity based on Machine-understandable Virtual Reality Technology Michael Beetz Representation Learning and Activity Prediction from Video Sven Behnke Human Centric Computer Vision for Robotics Norimasa Kobori 14:45-15:15 Coffee 15:15-16:45 Talks Explaining and Representing Novel Concepts With Minimal Supervision Zeynep Akata Representing Human Motions by Linear Dynamical Systems Andreas Weber Clustering Curves under the Fréchet distance Anne Driemel 16:45-17:00 Closing Remarks

Contact

Prof. Dr. Jürgen Gall

University of Bonn

Institute of Computer Science

Computer Vision Group

Endenicher Allee 19a

53115 Bonn, Germany

E-mail: gall@iai.uni-bonn.de

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Image source: Poppelsdorf Palace © Dr. Thomas Mauersberg / University of Bonn