Nov 1, 2021 · A novel egocentric human trajectory forecasting dataset was constructed, containing real trajectories of people navigating in crowded spaces wearing a camera.

Jul 18, 2022 · Abstract—In this letter, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces.

A Transformer-based encoder-decoder neural network model, integrated with a novel cascaded cross-attention mechanism that fuses multiple modalities, ...

Abstract—In this paper, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces.

Nov 1, 2021 · In this paper, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces.

Apr 27, 2024 · In this letter, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces.

This is the data repository of our work: Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion Jianing Qiu, Lipeng Chen, ...

Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion. record by Xiao Gu • Egocentric Human Trajectory Forecasting With a ...

In this paper, we propose a generative modeling approach to predict the distribution of future trajectories of a person given the environment semantics observed ...

Trajectory forecasting is a sequential prediction task, where a forecasting model predicts future trajectories of all moving agents (humans, vehicles, etc.)