The 8th AI City Challenge
Shuo Wang David C. Anastasiu Zheng Tang Ming-Ching Chang Yue Yao Liang Zheng Mohammed Shaiqur Rahman Meenakshi S. Arya Anuj Sharma Pranamesh Chakraborty Sanjita Prajapati Quan Kong Norimasa Kobori Munkhjargal Gochoo Munkh-Erdene Otgonbold Fady Alnajjar Ganzorig Batnasan Ping-Yang Chen Jun-Wei Hsieh Xunlei Wu Sameer Satish Pusegaonkar Yizhou Wang Sujit Biswas Rama Chellappa
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.