A Scene-LSTM that learns common human movement paths in grid cells and subgrids of a scene, combined with a Pedestrian-LSTM and data filters, reduces trajectory prediction error on several public benchmarks.
In: Proceedings of the IEEE conference on computer vision and pattern recognition
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Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM
A Scene-LSTM that learns common human movement paths in grid cells and subgrids of a scene, combined with a Pedestrian-LSTM and data filters, reduces trajectory prediction error on several public benchmarks.