The 8th AI City Challenge

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

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; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp. 7261-7272

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.

Related Material

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2024_CVPR, author = {Wang, Shuo and Anastasiu, David C. and Tang, Zheng and Chang, Ming-Ching and Yao, Yue and Zheng, Liang and Rahman, Mohammed Shaiqur and Arya, Meenakshi S. and Sharma, Anuj and Chakraborty, Pranamesh and Prajapati, Sanjita and Kong, Quan and Kobori, Norimasa and Gochoo, Munkhjargal and Otgonbold, Munkh-Erdene and Alnajjar, Fady and Batnasan, Ganzorig and Chen, Ping-Yang and Hsieh, Jun-Wei and Wu, Xunlei and Pusegaonkar, Sameer Satish and Wang, Yizhou and Biswas, Sujit and Chellappa, Rama}, title = {The 8th AI City Challenge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {7261-7272} }