Dr. Christian Bauckhage

Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS

Prof. Dr.-Ing. Christian Bauckhage

Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Schloss Birlinghoven
53757 Sankt Augustin

Telefon 02241 14-2854
Fax 02241 14-42854

    Im Profil

Forschungsgebiete

  • multimedia pattern analysis and recognition
  • image- and video analysis and retrieval
  • web 2.0 and interactive media
  • computer game ai

Vita

Christian Bauckhage ist Professor für Medieninformatik am Bonn-Aachen International Center for Information Technology (B-IT) und vertritt das Gebiet Multimedia Pattern Recognition am Fraunhofer IAIS. Sein Diplom in Informatik erwarb er 1998 nach Studium in Bielefeld und Grenoble; 2002 promovierte er in Bielefeld zum Dr.-Ing., wo er anschließend als technischer Koordinator eines erfolgreichen EU Forschungsprojektes im Bereich Cognitive Vision tätig war. Von 2004 bis 2008 forschte er am Center for Vision Research an der York University in Toronto, sowie bei den Deutsche Telekom Laboratories in Berlin. Er hat zahlreiche wissenschaftliche Beiträge in den Bereichen Computer Vision, Pattern Recognition, Advanced HCI und Behavior Analysis publiziert und ist regelmäßig als Gutachter für entsprechende Konferenzen und Journale sowie für das IST Programm der Europäischen Union tätig.

Veröffentlichungen

Book chapters

2006

C. Bauckhage, G.A. Fink, J. Fritsch, N. Jungclaus, S. Kronenberg, F. Kummert, F. Lömker, G. Sagerer, and S. Wachsmuth. Integrated Perception for Cooperative Human-Machine Interaction. In G. Rickheit and I. Wachsmuth, editors, Situated Communication, Trends in Linguistics, pages 325–356. Mouton de Gruyter, 2006

2002

C. Bauckhage and G. Sagerer. Context Free Grammars and Semantic Networks for Flexible Assembly Recognition. In D. Chen and X. Cheng, editors, Pattern Recognition and String Matching. Kluwer Academic Press, 2002

G. Sagerer, C. Bauckhage, E. Braun, J. Fritsch, F. Kummert, F. Lömker, and S. Wachsmuth. Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects. In H. Bunke, H.I. Christensen, G. Hager, and R. Klein, editors, Sensor Based Intelligent Robots, volume 2238 of LNCS, pages 317–344. Springer, 2002

Journal articles

2009

C. Bauckhage, J.K. Tsotsos, and F.E. Bunn. Automatic Detection of Abnormal Gait. Image and Vision Computing, 27(1-2):108-115, 2009

N. Mekuz, C. Bauckhage, and J. Tsotsos. Subspace Manifold Learning with Sample Weights. Image and Vision Computing, 27(1-2):80-86, 2009

2008

C. Bauckhage, S. Wachsmuth, M. Hanheide, S. Wrede, G. Sagerer, G. Heidemann, and H. Ritter. The Visual Active Memory Perspective on Integrated Recognition Systems. Image and Vision Computing, 26(1):5-14, 2008

2007

C. Bauckhage, B. Gorman, C. Thurau, and M. Humphrys. Learning Human Behavior from  Analyzing Activities in Virtual Environments. MMI-Interaktiv, (12):3–17, April 2007 C. Thurau, T. Paczian, G. Sagerer, and C. Bauckhage. Bayesian imitation learning in game characters. Int. J. Intelligent Systems Technologies and Applications, 2(2–3):284–295, 2007

2005

C. Bauckhage, M. Hanheide, S. Wrede, T. Käster, M. Pfeiffer, and G. Sagerer. Vision Systems with the Human in the Loop. EURASIP J. on Applied Signal Processing, 2005(14):2375–2390,2005

S. Wachsmuth, S. Wrede, M. Hanheide, and C. Bauckhage. An Active Memory Model for Cognitive Computer Vision Systems. Künstliche Intelligenz, 19(2):25–31, 2005

2004

T. Käster, M. Pfeiffer, C. Bauckhage, and G. Sagerer. Intelligent Navigation in Image Databases. Künstliche Intelligenz, 18(4):24–29, 2004

C. Bauckhage, E. Braun, and G. Sagerer. From Image Features to Symbols and Vice Versa – Using Graphs to Loop Data- and Model-Driven Processing in Visual Assembly Recognition. Int. J. of Pattern Recognition and Artificial Intelligence, 18(3):497–517, 2004

2000

C. Schmid, R. Mohr, and C. Bauckhage. Evaluation of Interest Point Detectors. Int. J. of Computer Vision, 37(2):151–172, 2000

1999

C. Bauckhage, G.A. Fink, F. Kummert, S. Posch, G. Sagerer, and D. Schlüter. Towards an Image Understanding Architecture for a Situated Artificial Communicator. Pattern Recognition and Image Analysis, 9(4):542–548, 1999

C. Bauckhage, J. Fritsch, and G. Sagerer. Erkennung von Aggregaten aus Struktur und Handlung. Künstliche Intelligenz, 13(3):4–11, 1999


Conference papers

2009

J. Kunegis, A. Lommatzsch, and C. Bauckhage. The slashdot zoo: mining a social network with negative edges. In Proc. WWW 2009.

C. Bauckhage and C. Thurau. Making Archetypal Analysis Practical. In J. Denzler and G. Notni, editors, Pattern recognition, 2009.

C. Thurau and C. Bauckhage. Archetypal Images in Large Photo Collections. In Proc. IEEE Int. Conf. on Semantic Computing, 2009.

A. Naumann, T. Franke, and C. Bauckhage. Investigating CAPTCHAs based on Visual Phenomena. In Proc. INTERACT, 2009.

X. Liu, T. Alpcan, and C. Bauckhage. Adaptive Wireless Services for Augmented Environments. In Proc. Int. Conf. on Mobile and Ubiquitous Systems

S. Krishnamurthy, G. Thamilarasu, and C. Bauckhage. MALADY: A Machine Learning-based Autonomous Decision-Making System for Sensor Networks.
In Proc. IEEE Int. Conf. on Embedded and Ubiquitous Computing, 2009.

2008

T. Alpcan and C. Bauckhage. A Discrete-Time Parallel Update Algorithm for Distributed Learning. In Proc. Int. Conf. on Pattern Recognition, 2008

T. Alpcan, S. Kesici, D. Bicher, M.K. Mihcak, C. Bauckhage and S.A. Camtepe. A Lightweight Biometric Signature Scheme for User Authentication over Networks. In Proc. ACM Int. Conf. on Security and Privacy in Communication Networks (SecureComm), 2008

C. Bauckhage. Probabilistic Diffusion Classifiers for Object Detection. In Proc. Int. Conf. on Pattern Recognition, 2008

C. Bauckhage. Integral Correlograms and Probabilistic Diffusion for Image Tagging. In Proc. IEEE Int. Conf. on Image Processing,  2008.

C. Bauckhage. Image Tagging Using PageRank over Bipartite Graphs. In G. Rigoll, editor, Pattern Recognition, volume 5096 of LNCS, pages 426–435. Springer, 2008

C. Bauckhage, T. Alpcan, R. Wetzker and W. Umbrath. Image Retrieval and Web 2.0 -- Where Can We Go From Here?. In Proc. IEEE ICIP Workshop on   Multimedia Information Retrieval: New Trends and Challenges, 2008

J. Kunegis, S. Schmidt, C. Bauckhage, M. Mehlitz and S. Albayrak. Modeling Collaborative Similarity with the Signed Resistance Distance Kernel. In Proc. European Conf. on Artificial Intelligence, 2008

J. Kunegis, A. Lommatzsch and C. Bauckhage. Alternative Similarity Functions for Graph Kernels. In Proc. Int. Conf. on Pattern Recognition, 2008

J. Kunegis, C. Bauckhage, A. Lommatzsch and S. Albayrak. On the Scalability of Graph Kernels Applied to Collaborative Recommenders. In Proc. ECAI Workshop on Recommender Systems, 2008

R. Wetzker, C. Bauckhage and T. Alpcan. Detecting Trends in Social Bookmarking Systems using a Probabilistic Generative Model and Smoothing. In Proc. Int. Conf. on Pattern Recognition, 2008

R. Wetzker, C. Zimmermann and C. Bauckhage. Analyzing Social Bookmarking Systems: A del.icio.us Cookbook. In Proc. ECAI Workshop on Mining Social Data, 2008

R. Wetzker, W. Umbrath, L. Hennig, C. Bauckhage, T. Alpcan and F. Metze. Tailoring Taxonomies for Efficient Text Categorization and Expert Finding. In Proc. IEEE/WIC/ACM WI 2008 Workshop on Optimization-based Data Mining and Web Intelligence, 2008


2007

T. Alpcan, C. Bauckhage, and S. Agarwal. An Efficient Ontology-Based Expert Peering System. In Proc. IAPR Workshop on Graph-based Representations, 2007

T. Alpcan, C. Bauckhage, and E. Kotsovinos. Towards 3D Internet: Why, What, and How? In Proc. IEEE Int. Conf. CyberWorlds, 2007

C. Bauckhage. Tensor-Based Filter Design Using Kernel Ridge Regression. In Proc. Int. IEEE Conf. on Image Processing, 2007.

C. Bauckhage. Distance-Free Image Retrieval Based on Stochastic Diffusion over Bipartite Graphs. In Proc. British Machine Vision Conf., 2007.

C. Bauckhage. Robust Tensor Classifiers for Color Object Recognition. In Proc. Int. Conf. on Image Analysis and Recognition, 2007

C. Bauckhage. Extracting Salient Points and Parts of Shapes Using Modified kd-Trees. In Proc. Int. Conf. on Computer Analysis of Images and Patterns, 2007

C. Bauckhage, T. Alpcan, S. Agarwal, F. Metze, R.Wetzker, M. Ilic, and S. Albayrak. An Intelligent Knowledge Sharing System for Web Communities. In Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, 2007

M. Mehlitz, C. Bauckhage, and S. Albayrak. A Fast, Feature-based Cluster Algorithm for Information Retrieval. In Proc. IEEE Int. Conf. on Information Reuse and Integration, 2007

M. Mehlitz, C. Bauckhage, J. Kunegis, and S. Albayrak. A New Evaluation Measure for Information Retrieval Systems. In Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, 2007

F. Metze, C. Bauckhage, T. Alpcan, K. Dobbrott, and C. Clemens. The “Spree” Expert Finding System. In IEEE Int. Conf. on Semantic Computing, 2007

R. Wetzker, T. Alpcan, C. Bauckhage,W. Umbrath, and S. Albayrak. An unsupervised hierarchical method for automated document categorization. In Proc. IEEE Int. Conf. on Web Intelligence, 2007


2006

C. Bauckhage. Tree-Based Signatures for Shape Classification. In Proc. IEEE Int. Conf. on Image Processing, 2006

C. Bauckhage, T. Käster, and J.K. Tsotsos. Applying Ensembles of Multilinear Classifiers in the Frequency Domain. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2006

C. Bauckhage and T. Käster. Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features. In Proc. Int. Conf. on Pattern Recognition, 2006

C. Bauckhage and T. Käster. Benefits of Seperable, Multilinear Discriminant Classification. In Proc. Int. Conf. on Pattern Recognition, 2006

C. Bauckhage, T. Käster, A.M. Rotenstein, and J.K. Tsotsos. Fast Learning for Customizable Head Pose Recognition in Robotic Wheelchair Control. In Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, 2006

C. Bauckhage, M. Roth, and V.V. Hafner. Where am I? – On Providing Gamebots with a Sense of Location Using Spectral Clustering of Waypoints. In Proc. SAB Workshop on Player Satisfaction, 2006

B. Gorman, C. Thurau, C. Bauckhage, and M. Humphrys. Bayesian Imitation of Human Behavior in Interactive Computer Games. In Proc. Int. Conf. on Pattern Recognition, 2006

B. Gorman, C. Thurau, C. Bauckhage, and M. Humphrys. Believability Testing and Bayesian Imitation in Interactive Computer Games. In Proc. Int. Conf. on Simulation of Adaptive Behavior, 2006

V.V. Hafner, C. Bauckhage, and M. Roth. Applying Robotic Techniques to Behavior Recognition in Game Agents. In Proc. GAME-ON, 2006

T. Käster, M. Pfeiffer, and C. Bauckhage. Usability Evaluation of Image Retrieval Beyond Desktop Applications. In Proc. IEEE Int. Conf. on Multimedia and Expo, 2006

C. Thurau, T. Hettenhausen, and C. Bauckhage. Classification of Team Behaviors in Sports Video Games. In Proc. Int. Conf. on Pattern Recognition, 2006

C. Thurau and C. Bauckhage. Smarter Team Mates – Applying Hidden Markov Models in Sports Games. In Proc. SAB Workshop on Player Satisfaction, 2006


2005

C. Bauckhage and J.K. Tsotsos. Separable Linear Classifiers for Online Learning in Appearance Based Object Detection. In Proc. Int. Conf. on Computer Analysis of Images and Patterns, 2005

C. Bauckhage and J.K. Tsotsos. Separable Linear Discriminant Classification. In W. Kropatsch, R. Sablatnig, and A. Hanbury, editors, Pattern Recognition, 2005

C. Bauckhage and J.K. Tsotsos. Bounding Box Splitting for Robust Shape Classification. In Proc. IEEE Int. Conf. on Image Processing, 2005

C. Bauckhage and J.K. Tsotsos. Image Space I3 and Eigen Curvature for Illumination Insensitive Face Detection. In Proc. Int. Conf. on Image Analysis and Recognition, 2005

C. Bauckhage, J.K. Tsotsos, and F.E. Bunn. Detecting Abnormal Gait. In Proc. IEEE Canadian Conf. on Computer and Robot Vision, 2005

M. Hanheide, C. Bauckhage, and G. Sagerer. Combining Environmental Cues & Head Gestures to Interact with Wearable Devices. In Proc. ACM Int. Conf. on Multimodal Interfaces, 2005

N. Mekuz, C. Bauckhage, and J.K. Tsotsos. Face Recognition with Weighted Locally Linear Embedding. In Proc. IEEE Canadian Conf. on Computer and Robot Vision, 2005

C. Thurau and C. Bauckhage. Towards Manifold Learning for Gamebot Behavior Modeling. In Proc. Int. Conf. on Advances in Computer Entertainment Technology (ACE), 2005

C. Thurau and C. Bauckhage. Tactical Waypoint Maps: Towards Imitating Tactics in FPS Games. In Proc. Int. Conf. Computer  Game Design and Technology, 2005

C. Thurau, T. Paczian, and C. Bauckhage. Is Bayesian Imitation Learning the Route to Believable Gamebots? In Proc.  GAME-ON North America, 2005

C. Thurau, T. Paczian, G. Sagerer, and C. Bauckhage. Bayesian Imitation Learning in Game Characters. In Proc. Int. Workshop  on Automatic Learning and Real-Time, 2005

S. Wachsmuth, M. Hanheide, S. Wrede, and C. Bauckhage. From Images via Symbols to Contexts: Using Augmented Reality for Interactive Model Acquisition. In D. Paulus and D. Droege, editors, KI 2005 Workshop on Mixed-reality as a Challenge to Image Understanding and Artificial Intelligence, 2005


2004

C. Bauckhage, M. Hanheide, S. Wrede, and G. Sagerer. A Cognitive Vision System for Action Recognition in Office Environments. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2004

C. Bauckhage and C. Thurau. Towards a Fair ’n Square Aimbot – Using Mixtures of Experts to Learn  Context Aware Weapon Handling. In Proc. GAME-ON, 2004

C. Bauckhage and C. Thurau. Exploiting the Fascination: Video Games in Machine Learning Research and Education. In Proc. ACM Int.  Conf. Computer Game Design and Technology, 2004

N. Gorges, M. Hanheide, W. Christmas, C. Bauckhage, G. Sagerer, and J. Kittler. Mosaics from Arbitrary Stereo Video  Sequences. In C.E. Rasmussen, H.H. Bulthoff,M.A. Giese, and B. Scholkopf, editors, Pattern Recognition, 2004

M. Hanheide, C. Bauckhage, and G. Sagerer. Memory Consistency Validation in a Cognitive Vision System. In Proc. Int. Conf. on Pattern  Recognition, 2004

G. Heidemann, I. Bax, H. Bekel, C. Bauckhage, S. Wachsmuth, G. Fink, A. Pinz, H. Ritter, and G. Sagerer. Multimodal Interaction in an Augmented Reality Scenario. In Proc. ACM Int. Conf. on Multimodal Interfaces, 2004

C. Thurau, C. Bauckhage, and G. Sagerer. Imitation learning at all levels of game-AI. In Proc. Int. Conf. Computer Games, Artificial  Intelligence, Design and Education, 2004

C. Thurau, C. Bauckhage, and G. Sagerer. Synthesizing Movements for Computer Game Characters. In C.E. Rasmussen, H.H. Bulthoff, M.A.  Giese, and B. Scholkopf, editors, Pattern Recognition, 2004

C. Thurau, C. Bauckhage, and G. Sagerer. Learning Human-Like Movement Behavior for Computer Games. In Proc. Int. Conf. on the Simulation of Adaptive Behavior, 2004


2003

C. Bauckhage, F. Kummert, and G. Sagerer. A Structural Framework for Assembly Modeling and Recognition. In Proc. Int. Conf. on Computer Analysis of Images and Patterns, 2003

C. Bauckhage, C. Thurau, and G. Sagerer. Learning Human-like Opponent Behavior for Interactive Computer Games. In B. Michaelis and G. Krell, editors, Pattern Recognition, 2003

C. Bauckhage, T. Käster, M. Pfeiffer, and G. Sagerer. Content-Based Image Retrieval by Multimodal Interaction. In Proc. IEEE IECON, 2003

T. Käster, M. Pfeiffer, C. Bauckhage, and G. Sagerer. Combining Speech and Haptics for Intuitive and Efficient Navigation through Image Databases. In Proc. ACM Int. Conf. on Multimodal Interfaces, 2003

C. Thurau, C. Bauckhage, and G. Sagerer. Combining Self Organizing Maps and Multilayer Perceptrons to Learn Bot-Behavior for a Commercial Computer Game. In Proc. GAME-ON, 2003


2002

C. Bauckhage, J. Fritsch, K.J. Rohlfing, S. Wachsmuth, and G. Sagerer. Evaluating Integrated Speech- and Image Understanding. In Proc. IEEE Int. Conf. on Multimodal Interfaces, 2002

C. Bauckhage, J. Denzler, , G. Heidemann, J. Kittler, H. Niemann, A. Pinz, H. Ritter, A. Saalbach, G. Sagerer, and S. Wachsmuth. Towards a Visual Active Memory that Enables Cognitive Vision. In Proc. Workshop Cognitive Vision, Zurich, Switzerland, September 2002


2001

C. Bauckhage, J. Fritsch, and G. Sagerer. Memorizing Visual Knowledge for Assembly Process Monitoring. In B. Radig and S. Florczyk, editors, Pattern Recognition, 2001

C. Bauckhage, S. Wachsmuth, and G. Sagerer. 3D Assembly Recognition by Matching Functional Subparts. In Proc. IAPR Workshop on  Graph-based Representations in Pattern Recognition, 2001

C. Bauckhage, G.A. Fink, J. Fritsch, F. Kummert, F. Lomker, G. Sagerer, and S. Wachsmuth. An Integrated System for Cooperative Man-Machine Interaction. In Proc. Int. Symp. on Computational Intelligence in Robotics and Automation, 2001

G. Sagerer, C. Bauckhage, E. Braun, G. Heidemann, F. Kummert, H. Ritter, and D. Schluter. Integrating recognition paradigms in a multiple-path architecture. In Proc. Int. Conf. on Advances in Pattern Recognition, 2001


2000

C. Bauckhage, S. Kronenberg, F. Kummert, and G. Sagerer. Grammars and Discourse Theory to Describe and Recognize Mechanical Assemblies. In Proc. Int. Workshop on Structural and Syntactic Pattern Recognition (S+SSPR), 2000

1999

C. Bauckhage, F. Kummert, and G. Sagerer. Learning Assembly Sequence Plans Using Functional Models. In Proc. IEEE Int. Symp. on Assembly and Task Planning, 1999

C. Bauckhage, J. Fritsch, F. Kummert, and G. Sagerer. Towards a Vision System for Supervising Assembly Processes. In Proc. Symp. on Intelligent Robotic Systems, 1999

1998

C. Bauckhage, F. Kummert, and G. Sagerer. Modeling and recognition of assembled objects. In Proc. IEEE IECON, 1998

C. Schmid, R. Mohr, and C. Bauckhage. Comparing and evaluating interest points. In Proc. IEEE Int. Conf. on Computer Vision, 1998