Pattern Recognition and Image Analysis

, Volume 21, Issue 2, pp 160–163 | Cite as

Perception as a key component for cognitive technical systems

Plenary Papers
  • 68 Downloads

Abstract

Cognitive capabilities such as perception, reasoning, learning, and planning turn technical systems into systems that “know what they are doing.” Starting from the human brain the Cluster of Excellence “CoTeSys” investigates cognition for technical systems such as vehicles, robots, and factories. Technical systems that are cognitive will be much easier to interact and cooperate with, and will be more robust, flexible, and efficient. For understanding their environment and interacting with humans the cognitive system’s most important sense is the visual one. The talk presents recent results using the visual sensor in building environment models, self localization of autonomous moving robots, navigation, simultaneous tracking of groups of humans and robots, face detection and evaluation of gaze direction and facial expression, and emotional communication between humans and robots.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    E. Scheider, S. Kohlbecher, K. Bartl, F. Wallhoff, and T. Brandt, “Experimental Platform for Wizard-of-Ozz Evaluation of Biometric Active Vision in Robots,” in Proc. IEEE Int. Conf. on Robotics and Biomimetics (Robio) (Guilin, Dec. 2009).Google Scholar
  2. 2.
    G. Boening, K. Bartl, T. Dera, S. Bardins, E. Schneider, and T. Brandt, “Mobile Eye Tracking As Basis for Real-Time Control of a Gaze Driven Head-Mounted Video Camera,” in Proc. Symp. on Eye Tracking Research and Application (San Diego, 2006).Google Scholar
  3. 3.
    C. Lenz, T. Röders, M. Eggers, S. Amin, T. Kisler, B. Radig, G. Panin, and A. Knoll, “A Distributed Many-Camera System for Multi-Person Tracking,” Lecture Notes Comp. Sci. 6439, 217–226 (2010).CrossRefGoogle Scholar
  4. 4.
    D. Brscic, et al., “Multi-Joint Action in CoTeSys—Setup and Challenges,” Tech. Rep., CoTeSys Cluster of Excellence (2010).Google Scholar
  5. 5.
    S. Segvic and S. Ribaric, “A Software Architecture for Distributed Visual Tracking in a Global Vision Localization System,” in Proc 3rd Int. Computer Vision System (Graz, 2003).Google Scholar
  6. 6.
    M. Vakera and S. Velastin, “Intelligent Distributed Surveillance Systems: A Review,” IEEE Proc. Vision, Image Signal Processing 152(2), 192–204 (2005).CrossRefGoogle Scholar
  7. 7.
    E. Scheider, K. Bartl, T. Dera, S. Bardins, G. Böning, P. Wagner, and T. Brandt, “Gaze-Aligned Head-Mounted Camera with Pan, Tilt, and Roll Motion Control for Medical Documentation and Teaching Applications,” in Proc. Conf. on Systems, Man, and Cybernetics (Taipei, 2006).Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2011

Authors and Affiliations

  1. 1.CoTeSys Excellence ClusterTechnische Universität MünchenMünchenGermany

Personalised recommendations