The 8th AI City Challenge
Abstrak
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.
Penulis (24)
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
Akses Cepat
- Tahun Terbit
- 2024
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓