By Ernst Pöppel (auth.), Otthein Herzog, Andreas Günter (eds.)
This ebook constitutes the refereed complaints of the twenty second Annual German convention on synthetic Intelligence, KI-98, held in Bremen, Germany, in September 1998.
The sixteen revised complete papers offered have been conscientiously reviewed and chosen for inclusion within the complaints. additionally integrated are 3 invited papers and abstracts of 2 invited talks, in addition to an appendix containing up to date descriptions of German AI tasks. hence the quantity offers a special evaluate of AI learn in Germany.
Read or Download KI-98: Advances in Artificial Intelligence: 22nd Annual German Conference on Artificial Intelligence Bremen, Germany, September 15–17, 1998 Proceedings PDF
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Extra info for KI-98: Advances in Artificial Intelligence: 22nd Annual German Conference on Artificial Intelligence Bremen, Germany, September 15–17, 1998 Proceedings
17. J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale, and S. Shafer. Multi-camera multi-person tacking for easyliving. In Proc. of 3rd IEEE International Workshop on Visual Surveillance, pages 3–10, 2000. 18. S. Shafer, J. Krumm, B. Meyers, B. Brumitt, M. Czerwinski, and D. Robbins. The new easyliving project at microsoft research. In Proc. of DARPA/NIST Workshop on Smart Spaces, pages 127–130, 1998. 19. M. Coen. The future of human-computer interaction on how I learned to stop worrying and love my intelligent room.
Each pixel value for a T M M I can be computed as follows after it is scaled up or down if we assume that T M M I is a 256 gray scale image. Each P ixel V alue = 256 − Corresponding M atrix V alue Figure 4 shows some visualization examples of AM M I, SC and SR such that how these SC and SR can capture where the motions occur. Two SRs in Figure 4 (a) are same, which means that the vertical locations of two motions are same. Similarly, Figure 4 (b) shows that the horizontal locations of two motions are same by SCs.
Of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 1999.  C. J. Swain and V. Athitsos, “WebSeer: An Image Search Engine for the World Wide Web,” University of Chicago Technical Report TR-96-14, July 31, 1996.  Y. Gong and H. J. Zhang, “An Effective Method for Detecting Regions of Given Colors and the Features of the Region Surfaces”, in Proc. of Symposium on Electronic Imaging Science and Technology: Image and Video Processing II, pp. 274–285, San Jose, CA, February 1994, IS&T/SPIE.