Ambient intelligence : a novel paradigm by Paolo Remagnino; et al

By Paolo Remagnino; et al

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Y. Tsai. An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, 364–374, 1986. [13] C. Wren, A, Azarbayejani, T. Darrell, and A. Pentland. Pfinder: Real-time tracking of the human body. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997. [14] S. D. Wu, H. Storer,and P. C. Chang. One-machine rescheduling heuristics with efficiency and stability as criteria. Comput. Oper. , 20:1–14, 1993.

Smith. A Constrained-Based Method for Project Scheduling with Time Windows. Journal of Heuristics, 8(1):109– 135, 2002. [4] L. K. Church and R. Uzsoy. Analysis of Periodic and Event-Driven Rescheduling Policies in Dynamic Shops. Inter. J. Comp. Integr. , 5:153–163, 1991. [5] T. Darrell, D. Demirdjian, N. Checka, and P. Felzenswalb. Plan-view trajectory estimation with dense stereo background models. In In Proc. of the International Conference on Computer Vision, 2001. [6] T. Darrell, G. Gordon, M.

The basic technique involved is stereo vision in order to detect and track persons and robots in the environment. ) it is 22 AMBIENT INTELLIGENCE possible to recognize specific situations and poses (like for example if a person lays down on the ground, or if she is sitting on a table). The general form of this problem presents many difficulties: first of all, object tracking is difficult when many similar objects move in the same space; second, object recognition is generally difficult when the environment and the agents cannot be adequately structured; third, when moving observers are used for monitoring large environments the problem becomes harder since it is necessary to take into account also the noise introduced by the motion of the observer.

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Ambient intelligence : a novel paradigm by Paolo Remagnino; et al
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