At the recent 2018 Conference on Computer Vision and Pattern Recognition, I presented a new algorithm for multi-face tracking, an essential component in understanding video. To understand visual sequences involving people, AI systems must be able to track multiple individuals across scenes, despite changing camera angles, lighting, and appearances. The new algorithm enables AI systems to accomplish this task.