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Comparative analysis of human motion trajectory prediction using minimum variance curvature
Ferrer Mínguez, Gonzalo; Sanfeliu Cortés, Alberto
Universitat Politècnica de Catalunya. Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
The prediction of human motion intentionality is a key issue towards intelligent human robot interaction and robot navigation. In this work we present a comparative study of several prediction functions that are based on the minimum curvature variance from the current position to all the potential destination points, that means, the points that are relevant for people motion intentionality. The proposed predictor computes, at each interval of time, the trajectory from the present to the destination positions, and makes a prediction of the human motion at each interval of time using only the criterion of minimum curvature variation. The method has been validated in the Edinburgh Informatics Forum Pedestrian database.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina
Human mechanics -- Data processing
cybernetics
Moviment -- Anàlisi
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
ACM Press, NY
         

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