Motivation and Objectives

There is an increasing demand for robots and intelligent systems that co-exist with and support humans in their everyday life. A key to realize such robots and systems is reliable perception of humans. They can behave intelligently and effectively by reliably detecting humans and understanding their behaviors, identities, and physical/mental states.

Visual and sensor-based perception of humans has been an important research area in robotics, and its application area is expanding, accelerated by recent progress of machine learning algorithms and deep neural networks. This full-day workshop brings together researchers and industry engineers working on novel approaches and applications / practical applications of perception of humans.

The goal of the workshop is to recognize the state-of-the-art of human perception research and to discuss its future directions and potential application scenarios. The workshop consists of several invited talks by leading researchers and oral and poster presentations of contributed papers.

Research and application papers are solicited in, but not limited to, the following area topics:

Contents of the Workshop

Invited talkDr. Kai Arras (BOSCH)
SPENCER and Beyond: Human detection, tracking and prediction in very dynamic environments
Invited talkDr. Francesco Nori (Google DeepMind)
The geometric foundation of the dynamics of physical interaction and AnDy's roadmap towards proficient human-robot collaboration
Invited talkProf. Emanuele Menegatti (University of Padova)
OpenPTrack: an open source infrastructure based on ROS and PCL for people tracking and human-machine interaction
Contributed paperKohari, Miura, Oishi
CNN-based human body orientation estimation for robotic attendant
Contributed paperCamara, Merat, Fox
Filtration analysis of pedestrian-vehicle interactions for autonomous vehicle control
Contributed paperGuidolin, Carraro, Ghidoni, Menegatti
A Limb-based approach for body pose recognition using a predefined set of poses
Contributed paperCastaman, Burke, Menegatti
A novel user interface for OpenPTrack based on web technologies


Jun Miura (Chair)
Department of Computer Science and Engineering, Toyohashi University of Technology
Emanuele Menegatti
Department of Information Engineering, University of Padua
Nicola Bellotto
Department of Computer Science, University of Lincoln
Stefano Ghidoni
Department of Information Engineering, University of Padua

Additional Program Committee Members

Marco Carraro
University of Padua
Kazunori Umeda
Chuo University
Serhan Cosar
University of Lincoln
Zhi Yan
University of Technology of Belfort-Montbeilard