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Titlebook: Incremental Learning for Motion Prediction of Pedestrians and Vehicles; Alejandro Dizan Vasquez Govea Book 2010 Springer-Verlag Berlin Hei

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書目名稱Incremental Learning for Motion Prediction of Pedestrians and Vehicles
編輯Alejandro Dizan Vasquez Govea
視頻videohttp://file.papertrans.cn/464/463354/463354.mp4
概述Recent research in the area of motion prediction of Pedestrians and Vehicles.Presents the modeling, learning and prediction of motion.Based on the winning thesis of the EURON Georges Giralt award
叢書名稱Springer Tracts in Advanced Robotics
圖書封面Titlebook: Incremental Learning for Motion Prediction of Pedestrians and Vehicles;  Alejandro Dizan Vasquez Govea Book 2010 Springer-Verlag Berlin Hei
描述.Modeling and predicting human and vehicle motion is an active research domain.Owing to the difficulty in modeling the various factors that determine motion(e.g. internal state, perception) this is often tackled by applying machinelearning techniques to build a statistical model, using as input a collectionof trajectories gathered through a sensor (e.g. camera, laser scanner), and thenusing that model to predict further motion. Unfortunately, most currenttechniques use offline learning algorithms, meaning that they are not able tolearn new motion patterns once the learning stage has finished...This books presents a lifelong learning approach where motion patterns can belearned incrementally, and in parallel with prediction. The approach is based ona novel extension to hidden Markov models, and the main contribution presentedin this book, called growing hidden Markov models, which gives us the ability tolearn incrementally both the parameters and the structure of the model. Theproposed approach has been extensively validated with synthetic and realtrajectory data. In our experiments our approach consistently learned motionmodels that were more compact and accurate than those produce
出版日期Book 2010
關鍵詞Hidden Markov Models; Motion prediction; behaviour modelling; hidden markov model; machine learning; robo
版次1
doihttps://doi.org/10.1007/978-3-642-13642-9
isbn_softcover978-3-642-26385-9
isbn_ebook978-3-642-13642-9Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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e Ergebnisse sind deshalb für Hersteller biometrischer Systeme, Urheber von Gesetzen, Vorschriften, Standards und Normen und für Entscheidungstr?ger des IT-Sicherheitsmanagements im Unternehmen interessant..978-3-658-23465-2978-3-658-23466-9Series ISSN 2946-0301 Series E-ISSN 2946-031X
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