Accurate Real-Time Localization and Classification of Distracted Driving Behaviors Using Deep Learning
A novel framework, DeepLocalization, that combines graph-based change point detection and video language modeling to accurately identify and temporally localize a wide range of distracted driving behaviors in real-time using limited computational resources.