Open Challenge
🏆 Winner Announced! 🎉
Congratulations to the "Human Scene Transformer" team for securing the 1st place and winning the challenge! 🥇
For more details and to explore the performance of other teams, check out the leaderboard.
We are organizing a new challenge on end-to-end Human Trajectory Forecasting with a cash prize of $1,000 sponsored by VinAI.
In real-world scenarios, the ability to forecast trajectories is crucial, even in situations where tracking algorithms may not perform optimally.
This poses an open challenge that requires end-to-end forecasting future trajectories given raw sensory data.
In this task, given video clips and point clouds of jrdb dataset, the objective is to forecast the future trajectories of people (x,y coordinates of center of bounding boxes on the ground) in each scene for the next 4.8 seconds at a frame rate of 2.5 frames per second.
The videos and point clouds for the 4.8 seconds part are hidden.
The input is unrestricted, and we solely assess the forecast trajectories for the hidden part of the test.
Feel free to use tracking leaderboards, off-the-shelf models, or even your own model to detect people from input data and forecast people's trajectories!
For more information on the dataset, metric and benchmark, please refer to JRDB-Traj paper.
Each challenge submission should be followed by an extended abstract or full paper submission via our paper submission portal (see details above) or a link to an existing preprint/publication.
The top 3 will have the opportunity to present their work as a spotlight (5 minutes) in the workshop, with the first-place winner receiving the prize.
To qualify for the first-place prize ($1,000) and certificate, a minimum of 5 distinct groups must submit their solutions to the challenge before the deadline.
The challenge submission deadline is September 15 September 18 - 23:59 PT.
Guidelines for participation
Participants must strictly adhere to the submission policy provided on the main
JRDB webpage, which can be found here. To differentiate challenge submissions from other regular submissions,
each submission name should be followed by an ICCV23 tag, e.g., "submissionname_ICCV23".
Submissions without this tag will not be considered for the challenge.
Moreover, the name, abstract and the link to a paper (an arXiv preprint is acceptable) should be completed in due time.
Please be aware that after the updating information deadline, incomplete submissions will be filtered out.
Evaluation & Toolkit
We use the first metric after "name" in the leaderboard as the main
evaluation for ranking the entries. For each benchmark, we have also created toolkits to
work with the dataset, perform evaluation, and create submissions. These toolkits are available
at here.
