Effective object detection from traffic camera videos
Honghui Shi, Zhichao Liu, Yuchen Fan, Xinchao Wang, Thomas S. Huang · 2017
The Nvidia AI City Challenge[1] is a recent effort to materialize the potential benefits of actionable insights in current traffic systems by utilizing both large amount of richly annotated traffic camera video data captured by growing number of cameras, and advanced technologies developed in recent years in image and video recognition and analysis. In this work, we will compare the AI City dataset with other existing vehicle detection datasets, and illustrate the details of the solution of our winning entries to the 1st Nvidia AI City Challenge. Our code and models are also available at https://github.com/NVIDIAAICITYCHALLENGE/AICity_Team24.