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The CV-HCI lab is part of the Institut for Anthropomatics of the Department of Computer Science at the Karlsruhe Institute of Technology (formerly Universität Karlsruhe (TH)).

Our research focuses on the development of novel techniques for the visual and audio-visual perception of humans and their activities, in order to facilitate perceptive multimodal interfaces, humanoid robots and smart environments. Our work thus includes research on person tracking, person identification, recognition of pointing gestures, estimation of head orientation and focus of attention, as well as audio-visual scene and activity analysis. Currently the main application scenarios we are working on are human-friendly humanoid robots and smart environments.

We are a member of the German Collaborative Research Center 588 on “Humanoid Robots”. In this project we contribute key components for the visual perception of people and their activities to the Karlsruhe humanoid robot. We are also member of the Franco-German research project Quaero, where we contribute to video-based and multimodal multimedia analysis, in particular the detection and recognition of people, events and genres in images and video. In the European CHIL project, we have extensively worked on audio-visual perception of people in and for smart environments.

The CV-HCI lab is directed by Prof. Dr. Rainer Stiefelhagen, who also directs the Perceptual User Interfaces research group at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Karlsruhe.

 

 

 

News

The CVHCI-lab has moved to its new location on campus

In September the CV:HCI lab has moved to its new rooms in building 50.20., the former "Kinderklinik", Adenauerring 2. We are located on the second floor (2. OG) (have a look at Google Maps or the interactive campus plan).

 
New book on "Computers in the Human Interaction Loop"

In spring 2009 Springer published our book on "Computers in the Human Interaction Loop" co-edited by Alex Waibel and Rainer Stiefelhagen.

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Biometric Research Award for Hazim K. Ekenel
This year, our team member Hazim K. Ekenel received the award for his contributions to the field of face recognition. His award-winning paper is entitled "A Robust Face Recognition Algorithm for Real-World Biometric Identification". Please see the EBF website for further information on the award.
 
Best Paper Award at M2SFA2
Our team members Keni Bernardin, Cem Aslan and Rainer Stiefelhagen received the best paper award at this year's M2SFA2 workshop.
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Best Demo at FG08
Our face recognition team won the ”Best Demo Award” at the IEEE International Conference on Automatic Face and Gesture Recognition 2008 (FG 2008). The title of the demo was ”Face Recognition for Smart Interactions” [pdf].