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In this paper we present a system for indoor people tracking based on the combination of wearable sensors and a video analysis module. The sensor consists of an inertial platform, which provides attitude and acceleration data with a high rate. Data is fused by an Extended Kaiman Filtering (EKF) to reconstruct the attitude and the accelerations experienced by the wearable sensors. The information is...
In this paper we propose a novel method to analyze trajectories in surveillance scenarios relying on automatically learned Context-Free Grammars. Given a training corpus of trajectories associated to a set of actions, an initial processing is carried out to extract the syntactical structure of the activities; then, the rules characterizing different behaviors are retrieved and coded as CFG models...
In this paper we propose a new method for trajectory analysis in surveillance scenarios using Context-Free Grammars. Starting from a predefined set of activities, we provide a tool to compare the incoming paths with the stored templates, analyzing the sequence of samples at a syntactic level. Using this approach it is possible to perform the matching of trajectories at different abstraction layers,...
In this work we present a framework for physical rehabilitation, which is based on hand tracking. One particular requirement in physical rehabilitation is the capability of the patient to correctly reproduce a specific path, following an example provided by the medical staff. Currently, these assignments are typically performed manually, and a nurse or doctor, who supervises the correctness of the...
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