• Publications
  • Influence
A survey on vision-based human action recognition
  • R. Poppe
  • Computer Science
  • Image Vis. Comput.
  • 1 June 2010
Vision-based human action recognition is the process of labeling image sequences with action labels. Robust solutions to this problem have applications in domains such as visual surveillance, videoExpand
  • 1,879
  • 64
  • Open Access
Vision-based human motion analysis: An overview
  • R. Poppe
  • Computer Science, Mathematics
  • Comput. Vis. Image Underst.
  • 1 October 2007
Markerless vision-based human motion analysis has the potential to provide an inexpensive, non-obtrusive solution for the estimation of body poses. The significant research effort in this domain hasExpand
  • 861
  • 29
  • Open Access
Evaluating Example-based Pose Estimation: Experiments on the HumanEva Sets
  • R. Poppe
  • Computer Science, Mathematics
  • 1 October 2007
We present an example-based approach to pose recovery, using histograms of oriented gradients as image descriptors. Tests on the HumanEva-I and HumanEva-II data sets provide us insight into theExpand
  • 99
  • 18
  • Open Access
Example-based pose estimation in monocular images using compact fourier descriptors
Automatically estimating human poses from visual input is useful but challenging due to variations in image space and the high dimensionality of the pose space. In this paper, we assume that a humanExpand
  • 19
  • 5
  • Open Access
Touching the Void -- Introducing CoST: Corpus of Social Touch
Touch behavior is of great importance during social interaction. To transfer the tactile modality from interpersonal interaction to other areas such as Human-Robot Interaction (HRI) and remoteExpand
  • 37
  • 4
  • Open Access
Multi-stream CNN: Learning representations based on human-related regions for action recognition
Abstract The most successful video-based human action recognition methods rely on feature representations extracted using Convolutional Neural Networks (CNNs). Inspired by the two-stream networkExpand
  • 65
  • 3
  • Open Access
Comparison of silhouette shape descriptors for example-based human pose recovery
  • R. Poppe, M. Poel
  • Computer Science
  • 7th International Conference on Automatic Face…
  • 10 April 2006
Automatically recovering human poses from visual input is useful but challenging due to variations in image space and the high dimensionality of the pose space. In this paper, we assume that a humanExpand
  • 60
  • 3
Virtual rap dancer: invitation to dance
This paper presents a virtual rap dancer that is able to dance to the beat of music coming in from music recordings, beats obtained from music, voice or other input through a microphone, motion beatsExpand
  • 24
  • 3
  • Open Access
Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications
Current evaluation methods are inappropriate for emerging HCI applications. In this paper, we give three examples of these applications and show that traditional evaluation methods fail. We identifyExpand
  • 50
  • 2
  • Open Access
Backchannel Strategies for Artificial Listeners
We evaluate multimodal rule-based strategies for backchannel (BC) generation in face-to-face conversations. Such strategies can be used by artificial listeners to determine when to produce a BC inExpand
  • 40
  • 2
  • Open Access