Zoran Zivkovic
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Zoran Zivkovic has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Ben Kröse
University of Amsterdam
2 shared publications A. Alissandrakis
Adaptive Systems Research Group, School of Computer Science, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK
1 shared publicationB. Krose
Intelligent Systems, Informatic Institute, Faculty of Science, University of Amsterdam, Kruislaan 403, 1098, SJ Amsterdam, The Netherlands
1 shared publication- Ferdinand van der Heijden
Department of Robotics and Mechatronics, University of Twente, Enschede, the Netherlands
1 shared publication - Kerstin Dautenhahn
University of Waterloo
1 shared publication - Kheng Lee Koay
University of Hertfordshire
1 shared publication
Latest Publications
- 1 January 2008
- Published by Springer Nature
- p. 25-39
People Detection Using Multiple Sensors on a Mobile Robot
- 1 January 2008
- Published by Springer Nature
- p. 25-39
People Detection Using Multiple Sensors on a Mobile Robot
- 31 May 2007
- Published by Elsevier in Robotics and Autonomous Systems
- Vol. 55 (5) , 357-358
From sensors to human spatial concepts
- 31 May 2007
- Published by Elsevier in Robotics and Autonomous Systems
- Vol. 55 (5) , 357-358
From sensors to human spatial concepts
- 1 September 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 66-73
Methodological Issues of Annotating Vision Sensor Data using Subjects' Own Judgement of Comfort in a Robot Human Following Experiment
When determining subject preferences for human-robot interaction, an important issue is the interpretation of the subjects' responses during the trials. Employing a non-intrusive approach, this paper discusses the methodological issues for annotating vision data by allowing the subjects to indicate their comfort using a handheld comfort level device during the trials. In previous research, the analysis of collected comfort and vision data was made difficult due to problems concerning the manual synchronization of different modalities. In the current paper, we overcome this issue by real-time integration of the subject's feedback on subjective comfort into the video stream. The implications for more efficient analysis of human-robot interaction data, as well as possible future developments of this approach are discussed
- 1 September 2006
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 66-73
Methodological Issues of Annotating Vision Sensor Data using Subjects' Own Judgement of Comfort in a Robot Human Following Experiment
When determining subject preferences for human-robot interaction, an important issue is the interpretation of the subjects' responses during the trials. Employing a non-intrusive approach, this paper discusses the methodological issues for annotating vision data by allowing the subjects to indicate their comfort using a handheld comfort level device during the trials. In previous research, the analysis of collected comfort and vision data was made difficult due to problems concerning the manual synchronization of different modalities. In the current paper, we overcome this issue by real-time integration of the subject's feedback on subjective comfort into the video stream. The implications for more efficient analysis of human-robot interaction data, as well as possible future developments of this approach are discussed
- 4 June 2004
- Published by Springer Nature in Pattern Analysis and Applications
- Vol. 7 (2) , 144-150
Improving the selection of feature points for tracking
- 4 June 2004
- Published by Springer Nature in Pattern Analysis and Applications
- Vol. 7 (2) , 144-150
Improving the selection of feature points for tracking