A Crowd Trajectory Prediction Method Based on Multi-precision Interaction
A trajectory prediction, multi-precision technology, applied in the field of computer vision, can solve the problems of poor modeling accuracy, high complexity of pedestrian interaction, lack of heterogeneity in pedestrian interaction, etc., and achieve the effect of accurate pedestrian trajectory and accurate prediction.
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[0033] The implementation of the technical solutions of the present invention will be described below in conjunction with the drawings and embodiments, and the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0034] Existing methods generally calculate the interaction between each pair of pedestrians, which has high computational complexity, or use methods such as pooling layers to model the entire scene as a whole. This method leads to the same interaction of different pedestrians and lacks diversity. The present invention proposes a crowd trajectory prediction method based on multi-precision interaction by means of deep learning technology, adopts a multi-precision pedestrian interaction modeling method, that is, a global-l...
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