학술논문

The 7th AI City Challenge
Document Type
Conference
Source
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 IEEE/CVF Conference on. :5538-5548 Jun, 2023
Subject
Computing and Processing
Engineering Profession
Computer vision
Head
Conferences
Urban areas
Safety
Pattern recognition
Artificial intelligence
Language
ISSN
2160-7516
Abstract
The AI City Challenge’s seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business and Intelligent Traffic Systems (ITS) - that have considerable untapped potential. The 2023 challenge had five tracks, which drew a record-breaking number of participation requests from 508 teams across 46 countries. Track 1 was a brand new track that focused on multi-target multi-camera (MTMC) people tracking, where teams trained and evaluated using both real and highly realistic synthetic data. Track 2 centered around natural-language-based vehicle track retrieval. Track 3 required teams to classify driver actions in naturalistic driving analysis. Track 4 aimed to develop an automated checkout system for retail stores using a single view camera. Track 5, another new addition, tasked teams with detecting violations of the helmet rule for motorcyclists. Two leader boards were released for submissions based on different methods: a public leader board for the contest where external private data wasn’t allowed and a general leader board for all results submitted. The participating teams’ top performances established strong baselines and even outperformed the state-of-the-art in the proposed challenge tracks.