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ICCV 2021

1st Workshop on Airborne Object Tracking (AOT)

October 17th 2021


This workshop aims to promote research and development of the state-of-the-art Computer Vision-based models in the domain of autonomous flight safety. Despite significant advances in Computer Vision, tracking small objects, such as those found in Airborne Objects Tracking (AOT) dataset, is still challenging. As opposed to the traditional Multi-Object Tracking (MOT) datasets, AOT dataset poses a unique combination of challenges, due to the tiny size of the airborne objects and real-time performance requirements. Autonomous drones engage Sense and Avoid (SAA) technology for collision avoidance from unforeseen airborne obstacles on their planned route. Computer Vision algorithms for detection and tracking of airborne objects with low-cost, lightweight cameras onboard these drones will allow to scale safe autonomous flight.



Call for Papers

SUBMISSION WEBSITE is OPEN for Extended Abstract submissions

Topics of the workshop include various aspects of computer vision and machine learning which might be useful for safe autonomous flight. The topics include, but not limited to

Papers are encouraged to illustrate their algorithm performance on the Airborne Objects Tracking (AOT) dataset

The workshop paper format (8-page limit) follows that of the main conference and will be published in the conference proceedings. Please submit your paper via https://cmt3.research.microsoft.com/AOTW2021

We also introduce a new track of extended abstract submission!

The length of extended abstracts is 2 - 4 pages, including figures, tables and references. The contents (including references) and length of the extended abstract should be sufficient for the submission to be properly evaluated. We invite submissions of extended abstracts of

The review will be a single-blind. Note that there will be NO published proceedings for extended abstracts. Authors of accepted abstracts might be invited to present their works during the workshop. Leading participants of the AOT challenge who want to be eligible for the prize need to submit an extended abstract about the technique they used for the challenge (see challenge rules for details)


Please visit this website for more details about Airborne Object Tracking challenge.

The challenge is over - we THANK all the participants for the great results!!!


To qualify for a prize, challenge participants are required to submit an Extended Abstract (2-4 pages) with a description of their solution and the training script. The following structure can be used:

For more details about Extended Abstract please refer to this SUGGESTED TEMPLATE docx / pdf .

NOTICE CHANGE IN SUBMISSION LOCATION: Please push your extended abstract along with your training script to your AIcrowd GitLab repository

Important Dates

August 6, 2021 (11:59 PM PST): Paper Submission Deadline - please submit your paper via this cmt website

August 12, 2021 (11:59 PM PST): Author Notification Date

August 17, 2021 (11:59 PM EST): Camera-ready Deadline

September 10, 2021 (11:59 PM PST) : Extended Abstract Submission for Challenge participants

September 24, 2021 (11:59 PM PST) : Extended Abstract Submission for talks

October 1, 2021(11:59 PM PST): Abstract Acceptance Notification Date

October 17, 2021(7:30 AM EST): Workshop Date

Workshop Schedule (Montreal time - EST)

Times might be adjusted later

07:30 - 07:40 : Workshop schedule by Yuri Federigi

07:40 - 07:55 : Running the challenge by AIcrowd

07:55 - 09:55 : Invited Talks by Pascal Fua, Laura Leal-Taixé and Andreas Geiger

09:55 - 10:00 : Buffer

10:00 - 10:30 : Introduction to Sense and Avoid Systems in Autonomous Drones by Amir Navot

10:30 - 10:40 : Dataset and evaluation by Maria Zontak

10:40 - 10:55 : SIAM-MOT baseline by Bing Shuai

10:55 - 11:00 : Buffer

11:00 - 12:00 : Challenge winners / paper / abstract presentations






Please contact Yuri Federigi/Maria Zontak if you have question.