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The model-based approaches for tracking of human bodies in image sequences can be c ategorized into two types; tting model to body frame by frame, and accumulating estimated p ose displacements in successive frames after model tting at the initial frame. The latter has an inherent drawback as accumulation of tracking errors while the one has a great(More)
— This paper is concerned with obtaining necessary and sufficient conditions for fulfilling specified state and control pointwise-in-time constraints against a certain class of nonlinear dynamics. The results are generalizations of the maximal output admissible set theory to the case of nonlinear systems. Main contribution of the present paper is that(More)
— This paper proposes a new subspace identification algorithm for continuous-time systems using generalized orthonormal basis functions. It is shown that a generalized orthonormal basis induces the transformation of continuous-time stochastic systems into discrete-time stochastic systems, and that the transformed noises have the ergodicity properties. With(More)
— Given an inner function, the orthogonal complement of the corresponding shift invariant subspace induces a system transformation for linear time-invariant systems, which is a generalization of the lifting technique for the sample-data control and Hambo-transform in the sense the inner function is arbitrary. This paper extends the transformation for(More)