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.
翻译:《AI城市挑战》第六版《AI城市挑战》具体侧重于两个领域的问题,这两个领域在计算机视觉和人工智能交汇处具有巨大的未开发潜力:智能交通系统(ITS)以及砖和迫击炮零售企业。2022年AI城市挑战的四个挑战轨道收到了来自27个国家的254个团队的参与请求。第一轨道涉及城市规模多目标多镜头车辆跟踪。第二轨道涉及基于自然语言的车辆轨迹检索。第三轨道是自然驾驶分析的新轨道,数据由汽车内安装的若干摄像头收集,重点是驾驶员的安全,任务是对驾驶员行动进行分类。第四轨道是另一个新轨道,目的是仅使用单一视图相机实现零售商店自动检查。我们发布了两个基于不同方法提交文件的领导委员会,包括不允许使用外部数据的公共参赛领袖委员会,以及所有提交结果的总领导委员会。参加小组的最高业绩建立了强大的基线,甚至超过了拟议挑战轨道上的最新技术。