Abstract
Pedestrian trajectory prediction is important in various applications such as driverless vehicles, social robots, intelligent tracking systems and space planning. Existing methods focus on analysing the influence of neighbours but ignore the effect of the intended destinations of pedestrians which also
plays a key role in route planning. In this paper, we propose a novel two-stage trajectory prediction method to yield multiple prediction trajectories with different probabilities towards different destination regions in the scene. Our method, which we refer to as Bi-Prediction, uses a bidirectional LSTM architecture to automatically classify trajectories into a small number of
route classes before trajectory prediction. We have evaluated our method against two baseline methods and three state-of-art methods on two benchmark datasets. Our experimental results show that the extra classification stage improves the accuracy of the predicted trajectories.
plays a key role in route planning. In this paper, we propose a novel two-stage trajectory prediction method to yield multiple prediction trajectories with different probabilities towards different destination regions in the scene. Our method, which we refer to as Bi-Prediction, uses a bidirectional LSTM architecture to automatically classify trajectories into a small number of
route classes before trajectory prediction. We have evaluated our method against two baseline methods and three state-of-art methods on two benchmark datasets. Our experimental results show that the extra classification stage improves the accuracy of the predicted trajectories.
Original language | English |
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Title of host publication | 2017 International Conference on Digital Image Computing |
Subtitle of host publication | Techniques and Applications, DICTA 2017, Sydney, Australia, November 29 - December 1, 2017 |
Place of Publication | United States |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Number of pages | 8 |
ISBN (Electronic) | 9781538628393 |
Publication status | Published - 2017 |
Event | 2017 International Conference on Digital Image Computing: Techniques and Applications - Sydney, Australia Duration: 29 Nov 2017 → 1 Dec 2017 |
Conference
Conference | 2017 International Conference on Digital Image Computing: Techniques and Applications |
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Abbreviated title | DICTA |
Country/Territory | Australia |
City | Sydney |
Period | 29/11/17 → 1/12/17 |