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- Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto
- IEEE Trans. Pattern Anal. Mach. Intell.
- 2002

ÐWe describe an algorithm for reconstructing three-dimensional structure and motion causally, in real time from monocular sequences of images. We prove that the algorithm is minimal and stable, in the sense that the estimation error remains bounded with probability one throughout a sequence of arbitrary length. We discuss a scheme for handling occlusions… (More)

- Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Stefano Soatto
- CVPR
- 2001

We pose the problem of recognizing different types of human gait in the space of dynamical systems where each gait is represented. Established techniques are employed to track a kinematic model of a human body in motion, and the trajectories of the parameters are used to learn a representation of a dynamical system, which defines a gait. Various types of… (More)

- Alessandro Chiuso
- Automatica
- 2007

Subspace identification for closed loop systems has been recently studied by several authors. A class of new and consistent closed-loop subspace algorithms is based on identification of a predictor model, in a way similar as prediction error methods (PEM) do. Experimental evidence suggests that these methods have a behavior which is very close to PEM in… (More)

- Alessandro Chiuso
- IEEE Trans. Automat. Contr.
- 2007

There is experimental evidence that a recently proposed subspace algorithm based on predictor identification has a behavior which is very close to prediction error methods in certain simple examples; this observation raises a question concerning its optimality. It is known that time series identification using the Canonical Correlation Analysis (CCA)… (More)

We analyze the observability of the continuous and discrete states of a class of continuous-time linear hybrid systems. We derive necessary and sufficient conditions that the structural parameters of the model must satisfy in order for filtering and smoothing algorithms to operate correctly. Our conditions are simple rank tests that exploit the geometry of… (More)

%e analyze the observability of the continuous and discrete states of a class of linear hybrid systems. We derive rank conditions that the structural parameters of the model must satisfy in order for filtering and smoothing algorithms to operate correctly. We also study the identifiability of the model parameters by characterizing the set of models that… (More)

- Alessandro Chiuso, Giorgio Picci
- Automatica
- 2005

It seems fair to say that current state-of-the-art subspace identification methods provide reliable results only when applied to plants operating in open loop. However feedback is present in a variety of practical situations (even though often one cannot directly recognize physical controllers which “close the loop”) and there is a need of reliable… (More)

- Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
- Automatica
- 2011

- Ruggero Carli, Alessandro Chiuso, Luca Schenato, Sandro Zampieri
- IEEE Trans. Automat. Contr.
- 2011

- Alessandro Chiuso, Paolo Favaro, Hailin Jin, Stefano Soatto
- ECCV
- 2000

The causal estimation of three-dimensional motion from a sequence of two-dimensional images can be posed as a nonlinear filtering problem. We describe the implementation of an algorithm whose uniform observability, minimal realization and stability have been proven analytically in [5]. We discuss a scheme for handling occlusions, drift in the scale factor… (More)