1 citations · 1 across the 2 of their papers we have counts for
3 papers · 1 filter
Improved Activity Forecasting for Generating Trajectories
Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa +3
An efficient inverse reinforcement learning for generating trajectories is proposed based of 2D and 3D activity forecasting. We modify reward function with norm and propose c…
Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis
Toru Tamaki, Daisuke Ogawa, Bisser Raytchev +1
In this paper, we propose a method for semantic segmentation of pedestrian trajectories based on pedestrian behavior models, or agents. The agents model the dynamics of pedestrian…
Semantic segmentation of trajectories with agent models
Daisuke Ogawa, Toru Tamaki, Bisser Raytchev +1
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preprocessing. In this paper, we propose a trajectory semantic segm…