Summary of The 8th Ai City Challenge, by Shuo Wang et al.
The 8th AI City Challenge
by 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
First submitted to arxiv on: 15 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The AI City Challenge’s eighth edition showcases the intersection of computer vision and artificial intelligence in domains like retail, warehouses, and Intelligent Traffic Systems (ITS). The 2024 edition features five tracks, attracting a record 726 teams from 47 countries. Track 1 highlights advancements in multi-target multi-camera people tracking, including increased camera counts, character numbers, and 3D annotations. Tracks 2-5 focus on dense video captioning for traffic safety, driver action classification, fish-eye camera analytics, and motorcycle helmet rule violation detection. The challenge utilizes two leaderboards to demonstrate methods, with participants setting new benchmarks and surpassing existing state-of-the-art achievements. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The AI City Challenge is a big competition that brings together computer scientists from all over the world to solve real-world problems using artificial intelligence and computer vision. This year’s edition had five different challenges, where teams worked on things like tracking people in videos, understanding traffic safety, and analyzing camera footage. The challenge is so important because it helps us develop new technologies that can make our lives better. |
Keywords
» Artificial intelligence » Classification » Tracking
