Search results for: Ronald Poppe

Items from 1 to 20 out of 31 results

article

Interactive rodent behavior annotation in video using active learning

Malte Lorbach, Ronald Poppe, Remco C. Veltkamp

Multimedia Tools and Applications > 2019 > 78 > 14 > 19787- 19806

Manual annotation of rodent behaviors in video is time-consuming. By learning a classifier, we can automate the labeling process. Still, this strategy requires a sufficient number of labeled examples. Moreover, we need to train new classifiers when there is a change in the set of behaviors that we consider or in the manifestation of these behaviors in video. Consequently, there is a need for an efficient...

article

Hands-on: deformable pose and motion models for spatiotemporal localization of fine-grained dyadic interactions

Coert van Gemeren, Ronald Poppe, Remco C. Veltkamp

EURASIP Journal on Image and Video Processing > 2018 > 2018 > 1 > 1-16

We introduce a novel spatiotemporal deformable part model for the localization of fine-grained human interactions of two persons in unsegmented videos. Our approach is the first to classify interactions and additionally provide the temporal and spatial extent of the interaction in the video. To this end, our models contain part detectors that support different scales as well as different types of...

chapter

Lend Me a Hand: Auxiliary Image Data Helps Interaction Detection

Coert van Gemeren, Ronald Poppe, Remco C. Veltkamp

2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017) > 538 - 543

2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)

In social settings, people interact in close proximity. When analyzing such encounters from video, we are typically interested in distinguishing between a large number of different interactions. Here, we address training deformable part models (DPMs) for the detection of such interactions from video, in both space and time. When we consider a large number of interaction classes, we face two challenges...

article

Variational method for joint optical flow estimation and edge-aware image restoration

Zhigang Tu, Wei Xie, Jun Cao, Coert van Gemeren, more

Pattern Recognition > 2017 > 65 > C > 11-25

The most popular optical flow algorithms rely on optimizing the energy function that integrates a data term and a smoothness term. In contrast to this traditional framework, we derive a new objective function that couples optical flow estimation and image restoration. Our method is inspired by the recent successes of edge-aware constraints (EAC) in preserving edges in general gradient domain image...

chapter

Locating human interactions with discriminatively trained deformable pose+motion parts

Coert van Gemeren, Ronald Poppe, Remco C. Veltkamp

2016 23rd International Conference on Pattern Recognition (ICPR) > 991 - 996

2016 23rd International Conference on Pattern Recognition (ICPR)

We model dyadic (two-person) interactions by discriminatively training a spatio-temporal deformable part model of fine-grained human interactions. All interactions involve at most two persons. Our models are capable of localizing human interactions in unsegmented videos, marking the interactions of interest in space and time. Our contributions are as follows: First, we create a model that localizes...

article

Automatic recognition of touch gestures in the corpus of social touch

Merel M. Jung, Mannes Poel, Ronald Poppe, Dirk K. J. Heylen

Journal on Multimodal User Interfaces > 2017 > 11 > 1 > 81-96

For an artifact such as a robot or a virtual agent to respond appropriately to human social touch behavior, it should be able to automatically detect and recognize touch. This paper describes the data collection of CoST: Corpus of Social Touch, a data set containing 7805 captures of 14 different social touch gestures. All touch gestures were performed in three variants: gentle, normal and rough on...

article

Adaptive guided image filter for warping in variational optical flow computation

Zhigang Tu, Ronald Poppe, Remco C. Veltkamp

Signal Processing > 2016 > 127 > C > 253-265

The variational optical flow method is considered to be the standard method to calculate an accurate dense motion field between successive frames. It assumes that the energy function has spatiotemporal continuities and appearance motions are small. However, for real image sequences, the temporal continuity assumption is often violated due to outliers and occlusions, causing inaccurate flow vectors...

article

Augmenting playspaces to enhance the game experience: A tag game case study

Alejandro Moreno, Robby van Delden, Ronald Poppe, Dennis Reidsma, more

Entertainment Computing > 2016 > 16 > C > 67-79

Introducing technology into games can improve players’ game experience. However, it can also reduce the amount of physical activity and social interaction. In this article, we discuss how we enhance the game of tag with technology such that physical and social characteristics of the game are retained. We first present an analysis of the behavior of children playing traditional tag games. Based on...

chapter

Backchannels: Quantity, Type and Timing Matters

Ronald Poppe, Khiet P. Truong, Dirk Heylen

Lecture Notes in Computer Science > Intelligent Virtual Agents > Listening and Feedback > 228-239

In a perception experiment, we systematically varied the quantity, type and timing of backchannels. Participants viewed stimuli of a real speaker side-by-side with an animated listener and rated how human-like they perceived the latter’s backchannel behavior. In addition, we obtained measures of appropriateness and optionality for each backchannel from key strokes. This approach allowed us to analyze...

chapter

Backchannel Strategies for Artificial Listeners

Ronald Poppe, Khiet P. Truong, Dennis Reidsma, Dirk Heylen

Lecture Notes in Computer Science > Intelligent Virtual Agents > Backchannels and Simulation > 146-158

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 in dialogs with human speakers. In this research, we consider features from the speaker’s speech and gaze. We used six rule-based strategies to determine the placement of BCs. The BCs were performed by an intelligent...

chapter

Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications

Ronald Poppe, Rutger Rienks, Betsy Dijk

Lecture Notes in Computer Science > Artifical Intelligence for Human Computing > Anthropocentric Interaction Models for Human Computing > 234-250

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 identify trends in HCI development and discuss the issues that arise with evaluation. We aim at achieving increased awareness that evaluation too has to evolve in order to support the emerging trends in HCI systems.

chapter

Person or Puppet? The Role of Stimulus Realism in Attributing Emotion to Static Body Postures

Marco Pasch, Ronald Poppe

Lecture Notes in Computer Science > Affective Computing and Intelligent Interaction > Affective Body Expression and Recognition > 83-94

Knowledge of the relation between body posture and the perception of affect is limited. Existing studies of emotion attribution to static body postures vary in method, response modalities and nature of the stimulus. Integration of such results proves difficult, and it remains to be investigated how the relation can be researched best. In this study we focus on the role of stimulus realism. An experiment...

chapter

Decision-Level Fusion for Audio-Visual Laughter Detection

Boris Reuderink, Mannes Poel, Khiet Truong, Ronald Poppe, more

Lecture Notes in Computer Science > Machine Learning for Multimodal Interaction > Social Signal Processing > 137-148

Laughter is a highly variable signal, which can be caused by a spectrum of emotions. This makes the automatic detection of laughter a challenging, but interesting task. We perform automatic laughter detection using audio-visual data from the AMI Meeting Corpus. Audio-visual laughter detection is performed by fusing the results of separate audio and video classifiers on the decision level. This results...

chapter

Example-Based Human Pose Recovery under Predicted Partial Occlusions

Ronald Poppe

Studies in Computational Intelligence > Interactive Collaborative Information Systems > Computer-Human Interaction Modeling > 327-354

For human pose recovery, the presence of occlusions due to objects or other persons in the scene remains a difficult problem to cope with. However, recent advances in the area of human detection allow for simultaneous segmentation of humans and the prediction of occluded regions. In this chapter, we present an example-based pose recovery approach where this information is used. We effectively used...

chapter

Towards Bi-directional Dancing Interaction

Dennis Reidsma, Herwin Welbergen, Ronald Poppe, Pieter Bos, more

Lecture Notes in Computer Science > Entertainment Computing - ICEC 2006 > Session 1: Agents > 1-12

Dancing is an entertaining form of taskless interaction. When interacting with a dancing Embodied Conversational Agent (ECA), the lack of a clear task presents the challenge of eliciting an interaction between user and ECA in a different way. In this paper we describe our Virtual Dancer, which is an ECA that invites a user to dance. In our system the user is monitored using global movement characteristics...

chapter

Body-Part Templates for Recovery of 2D Human Poses under Occlusion

Ronald Poppe, Mannes Poel

Lecture Notes in Computer Science > Articulated Motion and Deformable Objects > 289-298

Detection of humans and estimation of their 2D poses from a single image are challenging tasks. This is especially true when part of the observation is occluded. However, given a limited class of movements, poses can be recovered given the visible body-parts. To this end, we propose a novel template representation where the body is divided into five body-parts. Given a match, we not only estimate...

article

Weighted local intensity fusion method for variational optical flow estimation

Zhigang Tu, Ronald Poppe, Remco C. Veltkamp

Pattern Recognition > 2016 > 50 > Complete > 223-232

Estimating a dense motion field of successive video frames is a fundamental problem in image processing. The multi-scale variational optical flow method is a critical technique that addresses this issue. Despite the considerable progress over the past decades, there are still some challenges such as dealing with large displacements and estimating the smoothness parameter. We present a local intensity...

article

Automatic behavior analysis in tag games: from traditional spaces to interactive playgrounds

Alejandro Moreno, Ronald Poppe

Journal on Multimodal User Interfaces > 2016 > 10 > 1 > 63-75

Tag is a popular children’s playground game. It revolves around taggers that chase and then tag runners, upon which their roles switch. There are many variations of the game that aim to keep children engaged by presenting them with challenges and different types of gameplay. We argue that the introduction of sensing and floor projection technology in the playground can aid in providing both variation...

chapter

Augmenting traditional playground games to enhance game experience

Alejandro Moreno, Robby van Delden, Ronald Poppe, Dennis Reidsma, more

2015 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN) > 140 - 149

2015 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN)

Technology can provide engaging game experiences. However, it can also decrease the exhibition of essential play behavior such as social interaction and physical activity. In this paper, we discuss how the Interactive Tag Playground (ITP) can enhance the traditional tag game experience by making it more enjoyable and immersive without sacrificing social and physically active behavior. Additionally,...

chapter

Drawing outside the lines: Tracking-based gesture interaction in mobile augmented entertainment

Wolfgang Hurst, Ronald Poppe, Jerry van Angeren

2015 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN) > 79 - 87

2015 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN)

We present a proof-of-concept study for tracking-based gesture interaction in an augmented reality setting using tablets. By tracking a pen in front of a tablet using it's integrated camera, we are able to map certain motions to gestures, which in turn are used to interact with the application. A comparative user study investigates the feasibility and usefulness of our approach with a simple augmented...

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INFONA - science communication portal

Search results for: Ronald Poppe

Interactive rodent behavior annotation in video using active learning

Hands-on: deformable pose and motion models for spatiotemporal localization of fine-grained dyadic interactions

Lend Me a Hand: Auxiliary Image Data Helps Interaction Detection

Variational method for joint optical flow estimation and edge-aware image restoration

Locating human interactions with discriminatively trained deformable pose+motion parts

Automatic recognition of touch gestures in the corpus of social touch

Adaptive guided image filter for warping in variational optical flow computation

Augmenting playspaces to enhance the game experience: A tag game case study

Backchannels: Quantity, Type and Timing Matters

Backchannel Strategies for Artificial Listeners

Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications

Person or Puppet? The Role of Stimulus Realism in Attributing Emotion to Static Body Postures

Decision-Level Fusion for Audio-Visual Laughter Detection

Example-Based Human Pose Recovery under Predicted Partial Occlusions

Towards Bi-directional Dancing Interaction

Body-Part Templates for Recovery of 2D Human Poses under Occlusion

Weighted local intensity fusion method for variational optical flow estimation

Automatic behavior analysis in tag games: from traditional spaces to interactive playgrounds

Augmenting traditional playground games to enhance game experience

Drawing outside the lines: Tracking-based gesture interaction in mobile augmented entertainment

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