Pedestrian Action Prediction using Static Image Feature

Kenji Nishida, Takumi Kobayashi, Taro Iwamoto, Shinya Yamasaki

Abstract

In this study, we propose a method to predict how the target object move (run or walk) in the future by using only appearance-based image features. Such kind of motion prediction significantly contributes to intelligent braking system in cars; by knowing that the objects will run in several seconds such as in crossing streets, the car can start to brake in advance, which effectively reduces the risk for crash accidents. In the proposed method, we empirically evaluate which frames preceding the target action, 'running' in this case, are effective for predicting it in the framework of feature selection. By using the most effective frames at which the image features are extracted, we can build the action prediction method. In the experiments, those frames are found around 0.37 second before running action and we also show that they are closely related to human motion phases from walking to running from the viewpoint of biomechanics.

References

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Paper Citation


in Harvard Style

Nishida K., Kobayashi T., Iwamoto T. and Yamasaki S. (2015). Pedestrian Action Prediction using Static Image Feature . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 99-105. DOI: 10.5220/0005593600990105


in Bibtex Style

@conference{ncta15,
author={Kenji Nishida and Takumi Kobayashi and Taro Iwamoto and Shinya Yamasaki},
title={Pedestrian Action Prediction using Static Image Feature},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)},
year={2015},
pages={99-105},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005593600990105},
isbn={978-989-758-157-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)
TI - Pedestrian Action Prediction using Static Image Feature
SN - 978-989-758-157-1
AU - Nishida K.
AU - Kobayashi T.
AU - Iwamoto T.
AU - Yamasaki S.
PY - 2015
SP - 99
EP - 105
DO - 10.5220/0005593600990105