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Jeremiah: the face of computer vision
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Source ACM International Conference Proceeding Series; Vol. 24 archive
Proceedings of the 2nd international symposium on Smart graphics table of contents
Hawthorne, New York
Pages: 124 - 128  
Year of Publication: 2002
ISBN:1-58113-555-6
Authors
Richard Bowden  CVSSP, Guilfond Surrey
Pakorn Kaewtrakulpong  Brunel University, Uxbridge
Martin Lewin  Brunel University, Uxbridge
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a humanoid computer interface (Jeremiah) that is capable of extracting moving objects from a video stream and responding by directing the gaze of an animated head toward it. It further responds through change of expression reflecting the emotional state of the system as a response to stimuli. As such, the system exhibits similar behavior to a child. The system was originally designed as a robust visual tracking system capable of performing accurately and consistently within a real world visual surveillance arena. As such, it provides a system capable of operating reliably in any environment both indoor and outdoor. Originally designed as a public interface to promote computer vision and the public understanding of science (exhibited in British Science Museum), Jeremiah provides the first step to a new form of intuitive computer interface.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Bowden R, Learning Statistical Models of Human Motion, IEEE Workshop on Human Modelling, Analysis and Synthesis, CVPR2000, Hilton Head Island, 16 July 2000.
 
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Bowden, R., Mitchell, T., A., Sarhadi, M., Non-linear Statistical Models for the 3D Reconstruction of Human Pose and Motion from Monocular Image Sequences. Image and Vision Computing, 18(9), pp729-737, June 2000.
 
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Devin, V., E., Hogg, D., C., Reactive Memories: An Interactive Talking-Head. In: proc British Machine Vision Conference, Machester 2001.
 
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Horprasert, T., Harwood, D., Davis, L. S. a statistical approach for real-time robust background subtraction and shadow detection, in IEEE ICCV'99 FRAME-RATE WORKSHOP. 1999.
 
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KaewTraKulPong, P. Bowden, R., Adaptive Visual System for Tracking Low Resolution Colour Targets. in The British Machine Vision Conference. University of Manchester. 2001.
 
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KaewTraKulPong, P., Bowden, R., An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection. in 2nd European Workshop on Advanced Video-based Surveillance Systems.Kingston upon Thames. 2001.
 
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Moore, G., Talking Heads: Facial Animation in The Getaway. Gamasutra Feature, April 2001, http://www.gamasutra.com/features/20010418/
 
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Stauffer C, Grimson W. E. L. Adaptive background mixture models for real-time tracking. in Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149). IEEE Comput. Soc. Part Vol. 2, 1999.
 
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Waters, K., Rehg, J., Loughlin, M., Kang, S. B., Terzopoulos, D. Visual Sensing of Humans for Active Public Interfaces, In: Computer Vision for Human-Machine Interaction, Cipolla, R. and Pentland, A. (eds), Cambridge University Press (1998) 83-96
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Collaborative Colleagues:
Richard Bowden: colleagues
Pakorn Kaewtrakulpong: colleagues
Martin Lewin: colleagues