Visual trajectory analysis via Replicated Softmax-based models - Springer

摘要

In this paper, we apply the Replicated Softmax model to visual trajectory representation and analysis problems. We propose to represent trajectories with “bag-of-word” features from a spatially distributed codebook and then use a Replicated Softmax model to characterize trajectories with latent topic units. By stacking an additional label layer or representation layers, the Replicated Softmax model is enhanced with discrimination and generalization capability. Experiments on trajectory classification and trajectory route analysis are conducted to demonstrate the effectiveness of the proposed model.