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Bayesian human motion intentionality prediction in urban environments

Autor
Ferrer, G.; Sanfeliu, A.
Tipus d'activitat
Article en revista
Revista
Pattern recognition letters
Data de publicació
2014-07-15
Volum
44
Pàgina inicial
134
Pàgina final
140
DOI
https://doi.org/10.1016/j.patrec.2013.08.013 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/26703 Obrir en finestra nova
Resum
Human motion prediction in indoor and outdoor scenarios is a key issue towards human robot interaction and intelligent robot navigation in general. In the present work, we propose a new human motion intentionality indicator, denominated Bayesian Human Motion Intentionality Prediction (BHMIP), which is a geometric-based long-term predictor. Two variants of the Bayesian approach are proposed, the Sliding Window BHMIP and the Time Decay BHMIP. The main advantages of the proposed methods are: a simp...
Citació
Ferrer, G.; Sanfeliu, A. Bayesian human motion intentionality prediction in urban environments. "Pattern recognition letters", 15 Juliol 2014, vol. 44, p. 134-140.
Paraules clau
Human Motion Prediction, Pattern Recognition, Crowd Analysis, People, Navigation, Robots
Grup de recerca
VIS - Visió Artificial i Sistemes Intel.ligents

Participants