  The 6th edition of the AI City Challenge specifically focuses on problems in
two domains where there is tremendous unlocked potential at the intersection of
computer vision and artificial intelligence: Intelligent Traffic Systems (ITS),
and brick and mortar retail businesses. The four challenge tracks of the 2022
AI City Challenge received participation requests from 254 teams across 27
countries. Track 1 addressed city-scale multi-target multi-camera (MTMC)
vehicle tracking. Track 2 addressed natural-language-based vehicle track
retrieval. Track 3 was a brand new track for naturalistic driving analysis,
where the data were captured by several cameras mounted inside the vehicle
focusing on driver safety, and the task was to classify driver actions. Track 4
was another new track aiming to achieve retail store automated checkout using
only a single view camera. We released two leader boards for submissions based
on different methods, including a public leader board for the contest, where no
use of external data is allowed, and a general leader board for all submitted
results. The top performance of participating teams established strong
baselines and even outperformed the state-of-the-art in the proposed challenge
tracks.
