2nd Workshop on Benchmarking Trajectory Forecasting Models

October 16, 2021

in conjunction with
International Conference on Computer Vision (ICCV'21)
October 11-17, 2021

Aims and Scope

Human motion prediction is an essential task for developing autonomous systems able to safely navigate public spaces or interact with humans. Navigating crowded scenarios requires mimicking human perception and extracting social conventions in order to autonomously move in these areas. Various types of sensors (e.g., LIDAR scanner, RGB camera, GPS) are employed to perceive the surrounding environment by self-driving cars or robots. Another important area where forecasting human dynamics is used is advanced video surveillance systems for detecting anomalous behaviors or promptly supporting human operators. In the past few years, several methods have been proposed to predict human motion yet they have partially addressed how to evaluate their results in case of multi-modal predictions and critical situations mainly because no proper benchmarks were tailored for efficiently tackle this problem.

Despite its potential real-world applications in several domains (e.g., computer vision, robotics, healthcare), this task has not received adequate attention as detection or recognition problems. In this workshop, we aim to discuss recent advancements in this field with researchers in computer vision, robotics and cognitive neuroscience areas to conceive autonomous systems able to proactively act in complex contexts involving humans and moving objects in a safely manner. We will also lay the foundations for future research, powering discussions on applications, data and performances.


  • Human trajectory and activity forecasting in urban scenes

  • Action anticipation

  • Multi-agent prediction

  • Evaluation and benchmarking in motion prediction

  • Crowd motion analysis

  • Human dynamics modelling

  • Visual scene analysis

  • Human-robot interactions

  • Path planning and optimization

  • Anomaly detection

  • Data fusion techniques

  • Human perception

  • Social-awareness analysis

  • For more information about our previous edition, please visit the 2020 workshop website (BTFM2020).

  • For questions, please feel free to send us an e-mail.

Supported by