Abstract
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (ITS), presenting significant research opportunities. The 2024 edition featured five tracks, attracting unprecedented interest from 726 teams in 47 countries and regions. Track 1 dealt with multi-target multi-camera (MTMC) people tracking, highlighting significant enhancements in camera count, character number, 3D annotation, and camera matrices, alongside new rules for 3D tracking and online tracking algorithm encouragement. Track 2 introduced dense video captioning for traffic safety, focusing on pedestrian accidents using multi-camera feeds to improve insights for insurance and prevention. Track 3 required teams to classify driver actions in a naturalistic driving analysis. Track 4 explored fish-eye camera analytics using the FishEye8K dataset. Track 5 focused on motorcycle helmet rule violation detection. The challenge utilized two leaderboards to showcase methods, with participants setting new benchmarks, some surpassing existing state-of-the-art achievements.
Abstract (translated)
第八届AI城市挑战突出了计算机视觉和人工智能在零售、仓库设置和智能交通系统（ITS）等领域的汇聚，为研究提供了重要机会。2024版活动设有五个赛道，吸引了来自726支来自47个国家和地区的队伍，前所未有的关注。赛道1涉及多目标多摄像头（MTMC）人员跟踪，重点关注摄像头数量、角色数量、3D注释和相机矩阵的显著提升，以及为3D跟踪和在线跟踪算法鼓励的新规则。赛道2介绍了用于交通安全的密集视频字幕，利用多摄像头数据改善对保险和预防的洞察。赛道3要求团队对自然驾驶分析中的驾驶员动作进行分类。赛道4探索了使用FishEye8K数据集的鱼眼相机数据分析。赛道5关注摩托车头盔违规检测。挑战使用了两个排行榜来展示方法，参与者设定了新基准，有些甚至超越了现有最先进的成就。
URL
https://arxiv.org/abs/2404.09432
