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Human motion prediction considering environmental context | IEEE Conference Publication | IEEE Xplore

Human motion prediction considering environmental context


Abstract:

This paper describes an approach to predict the human motion. Instead of using a simple motion model as widely used, we take advantages of the environmental context, incl...Show More

Abstract:

This paper describes an approach to predict the human motion. Instead of using a simple motion model as widely used, we take advantages of the environmental context, including the shape and structure, for predicting the human movement. First, we characterize the environment using a graph representation. Subsequently, we acquire the human trajectory tendency on each environment and build a probabilistic sequence model of the human motion. A particle filter-based predictor is then integrated into the system for generating possible future paths of the person. Evaluations on a real campus environment show the advantages of the proposed approach.
Date of Conference: 18-22 May 2015
Date Added to IEEE Xplore: 13 July 2015
Electronic ISBN:978-4-9011-2214-6
Conference Location: Tokyo, Japan

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